Overview

Dataset statistics

Number of variables76
Number of observations1122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory666.3 KiB
Average record size in memory608.1 B

Variable types

Numeric73
Categorical3

Warnings

globcover_cls100 has constant value "0" Constant
globcover_cls60 has constant value "0" Constant
globcover_cls150 is highly skewed (γ1 = 27.85659289) Skewed
globcover_cls190 is highly skewed (γ1 = 20.90098747) Skewed
globcover_dst140 is highly skewed (γ1 = 21.78863724) Skewed
globcover_dst20 is highly skewed (γ1 = 23.50425786) Skewed
globcover_dst40 is highly skewed (γ1 = 25.45629046) Skewed
suburbs_100 is highly skewed (γ1 = 23.06431304) Skewed
towns_100 is highly skewed (γ1 = 33.04686792) Skewed
raster_geocode_100 has unique values Unique
raster_pop_100 has unique values Unique
cities_dist_100 has unique values Unique
clinics_dist_100 has unique values Unique
globcover_dst0 has unique values Unique
globcover_dst100 has unique values Unique
globcover_dst110 has unique values Unique
globcover_dst120 has unique values Unique
globcover_dst130 has unique values Unique
globcover_dst14 has unique values Unique
globcover_dst140 has unique values Unique
globcover_dst150 has unique values Unique
globcover_dst160 has unique values Unique
globcover_dst170 has unique values Unique
globcover_dst180 has unique values Unique
globcover_dst190 has unique values Unique
globcover_dst20 has unique values Unique
globcover_dst200 has unique values Unique
globcover_dst210 has unique values Unique
globcover_dst220 has unique values Unique
globcover_dst30 has unique values Unique
globcover_dst40 has unique values Unique
globcover_dst50 has unique values Unique
globcover_dst60 has unique values Unique
hamlets_dist_100 has unique values Unique
hospitals_dist_100 has unique values Unique
hydro_ele_100 has unique values Unique
hydro_slo_100 has unique values Unique
pharmacies_dist_100 has unique values Unique
railways_dist_100 has unique values Unique
rivers_dist_100 has unique values Unique
roads_dist_100 has unique values Unique
schools_dist_100 has unique values Unique
suburbs_dist_100 has unique values Unique
towns_dist_100 has unique values Unique
villages_dist_100 has unique values Unique
water_dist_100 has unique values Unique
wc_prec_100 has unique values Unique
wc_temp_100 has unique values Unique
cities_100 has 1079 (96.2%) zeros Zeros
clinics_100 has 1014 (90.4%) zeros Zeros
globcover_cls110 has 157 (14.0%) zeros Zeros
globcover_cls120 has 523 (46.6%) zeros Zeros
globcover_cls130 has 557 (49.6%) zeros Zeros
globcover_cls14 has 337 (30.0%) zeros Zeros
globcover_cls140 has 113 (10.1%) zeros Zeros
globcover_cls150 has 1036 (92.3%) zeros Zeros
globcover_cls160 has 871 (77.6%) zeros Zeros
globcover_cls170 has 1095 (97.6%) zeros Zeros
globcover_cls180 has 821 (73.2%) zeros Zeros
globcover_cls190 has 1100 (98.0%) zeros Zeros
globcover_cls200 has 930 (82.9%) zeros Zeros
globcover_cls210 has 688 (61.3%) zeros Zeros
globcover_cls220 has 995 (88.7%) zeros Zeros
globcover_cls40 has 12 (1.1%) zeros Zeros
globcover_cls50 has 451 (40.2%) zeros Zeros
hamlets_100 has 306 (27.3%) zeros Zeros
hospitals_100 has 529 (47.1%) zeros Zeros
night_lights_100 has 31 (2.8%) zeros Zeros
pharmacies_100 has 870 (77.5%) zeros Zeros
protected_areas_100 has 457 (40.7%) zeros Zeros
railways_100 has 1011 (90.1%) zeros Zeros
rivers_100 has 17 (1.5%) zeros Zeros
roads_100 has 18 (1.6%) zeros Zeros
schools_100 has 329 (29.3%) zeros Zeros
suburbs_100 has 1057 (94.2%) zeros Zeros
towns_100 has 101 (9.0%) zeros Zeros
villages_100 has 476 (42.4%) zeros Zeros
water_100 has 375 (33.4%) zeros Zeros

Reproduction

Analysis started2022-10-21 09:51:39.387262
Analysis finished2022-10-21 09:51:40.417188
Duration1.03 second
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

raster_geocode_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38716.41087
Minimum5001
Maximum99773
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:40.607857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5001
5-th percentile5347.3
Q115677.25
median25840
Q366543
95-th percentile85278.2
Maximum99773
Range94772
Interquartile range (IQR)50865.75

Descriptive statistics

Standard deviation26574.90506
Coefficient of variation (CV)0.6863989833
Kurtosis-1.123122204
Mean38716.41087
Median Absolute Deviation (MAD)20178
Skewness0.4529040365
Sum43439813
Variance706225578.9
MonotocityStrictly increasing
2022-10-21T12:51:40.770649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417911
 
0.1%
176651
 
0.1%
238151
 
0.1%
258621
 
0.1%
156211
 
0.1%
53801
 
0.1%
688671
 
0.1%
687551
 
0.1%
53761
 
0.1%
524901
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
50011
0.1%
50021
0.1%
50041
0.1%
50211
0.1%
50301
0.1%
ValueCountFrequency (%)
997731
0.1%
996241
0.1%
995241
0.1%
990011
0.1%
978891
0.1%

raster_pop_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.609432031
Minimum0.0007336984272
Maximum141.0373688
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:40.893654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.0007336984272
5-th percentile0.04452472869
Q10.2128411084
median0.440914169
Q30.9190122038
95-th percentile4.576007915
Maximum141.0373688
Range141.0366351
Interquartile range (IQR)0.7061710954

Descriptive statistics

Standard deviation7.085676519
Coefficient of variation (CV)4.402594445
Kurtosis192.2693043
Mean1.609432031
Median Absolute Deviation (MAD)0.2807908058
Skewness12.38202529
Sum1805.782739
Variance50.20681174
MonotocityNot monotonic
2022-10-21T12:51:41.025766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.641685491
 
0.1%
0.6836763621
 
0.1%
1.1722365621
 
0.1%
1.7288606171
 
0.1%
0.038099799311
 
0.1%
0.21749542651
 
0.1%
0.25869604951
 
0.1%
0.2989431621
 
0.1%
0.38465535641
 
0.1%
0.99655365941
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
0.00073369842721
0.1%
0.00088091829091
0.1%
0.0010593880431
0.1%
0.0010955767941
0.1%
0.0011902514381
0.1%
ValueCountFrequency (%)
141.03736881
0.1%
101.84943391
0.1%
78.304702761
0.1%
64.843383791
0.1%
52.092601781
0.1%

cities_100
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.340508897 × 106
Minimum0
Maximum0.0003694126339
Zeros1079
Zeros (%)96.2%
Memory size8.9 KiB
2022-10-21T12:51:41.159730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.0003694126339
Range0.0003694126339
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.362793887 × 105
Coefficient of variation (CV)10.16624276
Kurtosis491.3348087
Mean1.340508897 × 106
Median Absolute Deviation (MAD)0
Skewness19.80918078
Sum0.001504050982
Variance1.857207178 × 1010
MonotocityNot monotonic
2022-10-21T12:51:41.290399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
01079
96.2%
7.695859628 × 1051
 
0.1%
6.245124899 × 1071
 
0.1%
1.614661123 × 1061
 
0.1%
2.389229354 × 1061
 
0.1%
6.069065971 × 1051
 
0.1%
1.64644286 × 1051
 
0.1%
8.818808755 × 1061
 
0.1%
0.00014541224371
 
0.1%
4.262974362 × 1061
 
0.1%
Other values (34)34
 
3.0%
ValueCountFrequency (%)
01079
96.2%
5.959322854 × 1071
 
0.1%
6.157605135 × 1071
 
0.1%
6.245124899 × 1071
 
0.1%
1.592757413 × 1061
 
0.1%
ValueCountFrequency (%)
0.00036941263391
0.1%
0.00014541224371
0.1%
8.359806052 × 1051
0.1%
8.24198467 × 1051
0.1%
7.897646501 × 1051
0.1%

cities_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55696.63779
Minimum4407.334303
Maximum391614.3531
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:41.440778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4407.334303
5-th percentile12439.31197
Q128899.19023
median47491.08926
Q369264.41344
95-th percentile128161.764
Maximum391614.3531
Range387207.0188
Interquartile range (IQR)40365.22321

Descriptive statistics

Standard deviation41396.62231
Coefficient of variation (CV)0.7432517286
Kurtosis13.91435656
Mean55696.63779
Median Absolute Deviation (MAD)20098.46163
Skewness2.773685114
Sum62491627.6
Variance1713680339
MonotocityNot monotonic
2022-10-21T12:51:41.579063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42683.672121
 
0.1%
14696.091071
 
0.1%
29051.597831
 
0.1%
61576.176051
 
0.1%
7530.7654281
 
0.1%
70560.204791
 
0.1%
143542.07641
 
0.1%
33780.911541
 
0.1%
52310.971661
 
0.1%
27832.206541
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
4407.3343031
0.1%
5108.8773911
0.1%
5174.7894161
0.1%
5214.5648321
0.1%
5479.0963071
0.1%
ValueCountFrequency (%)
391614.35311
0.1%
377825.21471
0.1%
351565.78051
0.1%
326470.59741
0.1%
293424.62541
0.1%

clinics_100
Real number (ℝ≥0)

ZEROS

Distinct109
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.100709173 × 105
Minimum0
Maximum0.00298526835
Zeros1014
Zeros (%)90.4%
Memory size8.9 KiB
2022-10-21T12:51:41.724477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.945769642 × 105
Maximum0.00298526835
Range0.00298526835
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001585186767
Coefficient of variation (CV)7.545960136
Kurtosis197.1103433
Mean2.100709173 × 105
Median Absolute Deviation (MAD)0
Skewness12.85193507
Sum0.02356995692
Variance2.512817088 × 108
MonotocityNot monotonic
2022-10-21T12:51:41.855063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01014
90.4%
5.172770536 × 1051
 
0.1%
0.00033835222471
 
0.1%
7.822277847 × 1051
 
0.1%
1.2562025 × 1051
 
0.1%
1.829203601 × 1051
 
0.1%
4.763560666 × 1061
 
0.1%
3.431744321 × 1061
 
0.1%
1.156483827 × 1051
 
0.1%
1.592813227 × 1051
 
0.1%
Other values (99)99
 
8.8%
ValueCountFrequency (%)
01014
90.4%
1.521364676 × 1071
 
0.1%
1.267152493 × 1061
 
0.1%
1.844038592 × 1061
 
0.1%
2.414397535 × 1061
 
0.1%
ValueCountFrequency (%)
0.002985268351
0.1%
0.0026213955811
0.1%
0.0017876185841
0.1%
0.00123629771
0.1%
0.0012294205691
0.1%

clinics_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44848.36918
Minimum1541.14293
Maximum828803.9904
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:41.999230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1541.14293
5-th percentile7231.608899
Q117276.96761
median29070.44766
Q345533.6096
95-th percentile101608.2634
Maximum828803.9904
Range827262.8475
Interquartile range (IQR)28256.64199

Descriptive statistics

Standard deviation73412.13572
Coefficient of variation (CV)1.636896437
Kurtosis47.83283529
Mean44848.36918
Median Absolute Deviation (MAD)13847.48796
Skewness6.275593711
Sum50319870.22
Variance5389341670
MonotocityNot monotonic
2022-10-21T12:51:42.129783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41747.362871
 
0.1%
746264.6471
 
0.1%
9874.2993041
 
0.1%
10896.742021
 
0.1%
80071.98741
 
0.1%
14081.963351
 
0.1%
17655.133061
 
0.1%
22640.584871
 
0.1%
9963.4056231
 
0.1%
30933.150451
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1541.142931
0.1%
2662.129341
0.1%
2766.3340411
0.1%
3016.930131
0.1%
3475.6004071
0.1%
ValueCountFrequency (%)
828803.99041
0.1%
804944.33841
0.1%
746264.6471
0.1%
649858.22521
0.1%
615750.77871
0.1%

globcover_cls0
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
0
1121 
1
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
01121
99.9%
11
 
0.1%

globcover_cls100
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
0
1122 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
01122
100.0%

globcover_cls110
Real number (ℝ≥0)

ZEROS

Distinct966
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0391192511
Minimum0
Maximum0.4984866884
Zeros157
Zeros (%)14.0%
Memory size8.9 KiB
2022-10-21T12:51:42.444853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001716656104
median0.01034415741
Q30.04099110162
95-th percentile0.1922183856
Maximum0.4984866884
Range0.4984866884
Interquartile range (IQR)0.03927444551

Descriptive statistics

Standard deviation0.07040306071
Coefficient of variation (CV)1.799703694
Kurtosis10.32727615
Mean0.0391192511
Median Absolute Deviation (MAD)0.01033512242
Skewness3.001176174
Sum43.89179973
Variance0.004956590958
MonotocityNot monotonic
2022-10-21T12:51:42.586311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0157
 
14.0%
0.0019139977031
 
0.1%
0.0042738012511
 
0.1%
0.0072258430151
 
0.1%
0.020678501291
 
0.1%
0.1610451941
 
0.1%
0.0020510483141
 
0.1%
0.0025434255411
 
0.1%
0.066888977311
 
0.1%
0.017335715481
 
0.1%
Other values (956)956
85.2%
ValueCountFrequency (%)
0157
14.0%
5.716089458 × 1061
 
0.1%
6.105606643 × 1061
 
0.1%
6.57270618 × 1061
 
0.1%
8.256456549 × 1061
 
0.1%
ValueCountFrequency (%)
0.49848668841
0.1%
0.46429980281
0.1%
0.45982804621
0.1%
0.42841309171
0.1%
0.40005151981
0.1%

globcover_cls120
Real number (ℝ≥0)

ZEROS

Distinct600
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01160606252
Minimum0
Maximum0.2098583073
Zeros523
Zeros (%)46.6%
Memory size8.9 KiB
2022-10-21T12:51:42.985404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0003271002745
Q30.008135824885
95-th percentile0.07108469693
Maximum0.2098583073
Range0.2098583073
Interquartile range (IQR)0.008135824885

Descriptive statistics

Standard deviation0.02733569922
Coefficient of variation (CV)2.355294844
Kurtosis15.11605027
Mean0.01160606252
Median Absolute Deviation (MAD)0.0003271002745
Skewness3.608953737
Sum13.02200215
Variance0.0007472404517
MonotocityNot monotonic
2022-10-21T12:51:43.117217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0523
46.6%
0.20985830731
 
0.1%
0.0021021284051
 
0.1%
0.00047226740831
 
0.1%
0.00019611474891
 
0.1%
0.00022975301551
 
0.1%
0.00043240126841
 
0.1%
0.00058202700611
 
0.1%
0.015941411131
 
0.1%
0.032588454381
 
0.1%
Other values (590)590
52.6%
ValueCountFrequency (%)
0523
46.6%
1.54902898 × 1051
 
0.1%
1.926819399 × 1051
 
0.1%
2.371429023 × 1051
 
0.1%
2.384472316 × 1051
 
0.1%
ValueCountFrequency (%)
0.20985830731
0.1%
0.19725815051
0.1%
0.1953761861
0.1%
0.1940823711
0.1%
0.169145451
0.1%

globcover_cls130
Real number (ℝ≥0)

ZEROS

Distinct566
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02469218688
Minimum0
Maximum0.3891792345
Zeros557
Zeros (%)49.6%
Memory size8.9 KiB
2022-10-21T12:51:43.254851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.153554191 × 105
Q30.02652771659
95-th percentile0.1308502409
Maximum0.3891792345
Range0.3891792345
Interquartile range (IQR)0.02652771659

Descriptive statistics

Standard deviation0.04927677378
Coefficient of variation (CV)1.995642347
Kurtosis10.80532745
Mean0.02469218688
Median Absolute Deviation (MAD)5.153554191 × 105
Skewness2.971274692
Sum27.70463368
Variance0.002428200435
MonotocityNot monotonic
2022-10-21T12:51:43.393273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0557
49.6%
0.045359801491
 
0.1%
0.14065691081
 
0.1%
0.030104984531
 
0.1%
0.004101580781
 
0.1%
0.0036322976761
 
0.1%
0.015224562291
 
0.1%
0.00082833893681
 
0.1%
0.083429023961
 
0.1%
0.0027836908471
 
0.1%
Other values (556)556
49.6%
ValueCountFrequency (%)
0557
49.6%
2.386293132 × 1051
 
0.1%
3.319269466 × 1051
 
0.1%
4.312649865 × 1051
 
0.1%
4.968080085 × 1051
 
0.1%
ValueCountFrequency (%)
0.38917923451
0.1%
0.34289083811
0.1%
0.31902879731
0.1%
0.30892857141
0.1%
0.28297077831
0.1%

globcover_cls14
Real number (ℝ≥0)

ZEROS

Distinct786
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03649281993
Minimum0
Maximum0.6970142977
Zeros337
Zeros (%)30.0%
Memory size8.9 KiB
2022-10-21T12:51:43.535788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00334735281
Q30.03618039197
95-th percentile0.1729198929
Maximum0.6970142977
Range0.6970142977
Interquartile range (IQR)0.03618039197

Descriptive statistics

Standard deviation0.07572539657
Coefficient of variation (CV)2.075076596
Kurtosis15.16082089
Mean0.03649281993
Median Absolute Deviation (MAD)0.00334735281
Skewness3.473545462
Sum40.94494396
Variance0.005734335686
MonotocityNot monotonic
2022-10-21T12:51:43.668676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0337
30.0%
0.0016925480541
 
0.1%
0.12563921711
 
0.1%
0.00039866050071
 
0.1%
0.0010217055671
 
0.1%
0.0011781132731
 
0.1%
0.0015737567321
 
0.1%
0.089411152551
 
0.1%
0.0062761506281
 
0.1%
0.096270161291
 
0.1%
Other values (776)776
69.2%
ValueCountFrequency (%)
0337
30.0%
5.279803169 × 1061
 
0.1%
1.467432775 × 1051
 
0.1%
2.775002775 × 1051
 
0.1%
3.263683901 × 1051
 
0.1%
ValueCountFrequency (%)
0.69701429771
0.1%
0.55003971411
0.1%
0.4901352251
0.1%
0.46423989741
0.1%
0.44397443131
0.1%

globcover_cls140
Real number (ℝ≥0)

ZEROS

Distinct1009
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07020258922
Minimum0
Maximum0.8112588216
Zeros113
Zeros (%)10.1%
Memory size8.9 KiB
2022-10-21T12:51:43.809188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004130954771
median0.02039437789
Q30.06794117073
95-th percentile0.3509911987
Maximum0.8112588216
Range0.8112588216
Interquartile range (IQR)0.06381021596

Descriptive statistics

Standard deviation0.1247489286
Coefficient of variation (CV)1.776984724
Kurtosis8.934517056
Mean0.07020258922
Median Absolute Deviation (MAD)0.01932477419
Skewness2.879570342
Sum78.7673051
Variance0.01556229519
MonotocityNot monotonic
2022-10-21T12:51:43.944927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0113
 
10.1%
0.01198010852
 
0.2%
0.082557297951
 
0.1%
0.0019446245021
 
0.1%
0.0013808975831
 
0.1%
0.032038271961
 
0.1%
0.0060562383881
 
0.1%
0.030172243121
 
0.1%
0.0046813283271
 
0.1%
0.010647737361
 
0.1%
Other values (999)999
89.0%
ValueCountFrequency (%)
0113
10.1%
7.878530567 × 1051
 
0.1%
8.963786303 × 1051
 
0.1%
0.00010236462281
 
0.1%
0.00010554089711
 
0.1%
ValueCountFrequency (%)
0.81125882161
0.1%
0.76023824121
0.1%
0.75295403321
0.1%
0.72434318561
0.1%
0.69588162271
0.1%

globcover_cls150
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct87
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003575107609
Minimum0
Maximum0.1545761312
Zeros1036
Zeros (%)92.3%
Memory size8.9 KiB
2022-10-21T12:51:44.087212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0003097590475
Maximum0.1545761312
Range0.1545761312
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00493178298
Coefficient of variation (CV)13.79478192
Kurtosis857.110377
Mean0.0003575107609
Median Absolute Deviation (MAD)0
Skewness27.85659289
Sum0.4011270737
Variance2.432248336 × 105
MonotocityNot monotonic
2022-10-21T12:51:44.220337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01036
92.3%
0.0024459099591
 
0.1%
1.516665627 × 1051
 
0.1%
0.0020714166311
 
0.1%
0.0016764979821
 
0.1%
0.0055811538711
 
0.1%
0.00049250300971
 
0.1%
0.026560649641
 
0.1%
0.009264911841
 
0.1%
0.0027643383631
 
0.1%
Other values (77)77
 
6.9%
ValueCountFrequency (%)
01036
92.3%
1.30145633 × 1051
 
0.1%
1.483915592 × 1051
 
0.1%
1.516665627 × 1051
 
0.1%
1.631841951 × 1051
 
0.1%
ValueCountFrequency (%)
0.15457613121
0.1%
0.028577725541
0.1%
0.026560649641
0.1%
0.024827620261
0.1%
0.019380327811
0.1%

globcover_cls160
Real number (ℝ≥0)

ZEROS

Distinct252
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004766444345
Minimum0
Maximum0.149444553
Zeros871
Zeros (%)77.6%
Memory size8.9 KiB
2022-10-21T12:51:44.367589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02983272493
Maximum0.149444553
Range0.149444553
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01558426009
Coefficient of variation (CV)3.269577691
Kurtosis31.74980927
Mean0.004766444345
Median Absolute Deviation (MAD)0
Skewness5.100974061
Sum5.347950555
Variance0.0002428691626
MonotocityNot monotonic
2022-10-21T12:51:44.502592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0871
77.6%
0.0035285378231
 
0.1%
0.026971794121
 
0.1%
0.018536363161
 
0.1%
0.014494687971
 
0.1%
0.0085333333331
 
0.1%
0.027885323011
 
0.1%
0.050965215281
 
0.1%
0.020650851721
 
0.1%
0.0037763464411
 
0.1%
Other values (242)242
 
21.6%
ValueCountFrequency (%)
0871
77.6%
1.7113178 × 1051
 
0.1%
3.980865307 × 1051
 
0.1%
5.602868669 × 1051
 
0.1%
0.00010263935191
 
0.1%
ValueCountFrequency (%)
0.1494445531
0.1%
0.14719737471
0.1%
0.13128454781
0.1%
0.12270577591
0.1%
0.12095793051
0.1%

globcover_cls170
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001127951623
Minimum0
Maximum0.2739847491
Zeros1095
Zeros (%)97.6%
Memory size8.9 KiB
2022-10-21T12:51:44.628483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.2739847491
Range0.2739847491
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01231195094
Coefficient of variation (CV)10.91531825
Kurtosis290.7341735
Mean0.001127951623
Median Absolute Deviation (MAD)0
Skewness15.74554962
Sum1.265561722
Variance0.0001515841361
MonotocityNot monotonic
2022-10-21T12:51:44.730986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
01095
97.6%
0.054302188341
 
0.1%
0.0040006809671
 
0.1%
0.054231952491
 
0.1%
0.090204905821
 
0.1%
0.01770667561
 
0.1%
0.060221870051
 
0.1%
0.07095482721
 
0.1%
0.010690968221
 
0.1%
0.0094417757161
 
0.1%
Other values (18)18
 
1.6%
ValueCountFrequency (%)
01095
97.6%
0.00030281619061
 
0.1%
0.00034364261171
 
0.1%
0.00065158156621
 
0.1%
0.00092665718951
 
0.1%
ValueCountFrequency (%)
0.27398474911
0.1%
0.19623642941
0.1%
0.13006845711
0.1%
0.1091709331
0.1%
0.090204905821
0.1%

globcover_cls180
Real number (ℝ≥0)

ZEROS

Distinct302
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001971881223
Minimum0
Maximum0.09278482525
Zeros821
Zeros (%)73.2%
Memory size8.9 KiB
2022-10-21T12:51:44.858537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0002133593268
95-th percentile0.01202194529
Maximum0.09278482525
Range0.09278482525
Interquartile range (IQR)0.0002133593268

Descriptive statistics

Standard deviation0.00667552229
Coefficient of variation (CV)3.385357196
Kurtosis53.84819238
Mean0.001971881223
Median Absolute Deviation (MAD)0
Skewness6.227673773
Sum2.212450733
Variance4.456259784 × 105
MonotocityNot monotonic
2022-10-21T12:51:44.991021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0821
73.2%
0.00089789635711
 
0.1%
0.0006599144981
 
0.1%
0.032413183981
 
0.1%
0.0035975916641
 
0.1%
0.00050835969271
 
0.1%
0.0024739452151
 
0.1%
0.0099001401251
 
0.1%
0.0026130692211
 
0.1%
0.0036703305241
 
0.1%
Other values (292)292
 
26.0%
ValueCountFrequency (%)
0821
73.2%
1.194614677 × 1051
 
0.1%
2.445721292 × 1051
 
0.1%
2.654244801 × 1051
 
0.1%
3.561691739 × 1051
 
0.1%
ValueCountFrequency (%)
0.092784825251
0.1%
0.07177483541
0.1%
0.050768285191
0.1%
0.049079443871
0.1%
0.046813906791
0.1%

globcover_cls190
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004150594219
Minimum0
Maximum0.1541200407
Zeros1100
Zeros (%)98.0%
Memory size8.9 KiB
2022-10-21T12:51:45.106382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.1541200407
Range0.1541200407
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005711428375
Coefficient of variation (CV)13.76050771
Kurtosis507.2645842
Mean0.0004150594219
Median Absolute Deviation (MAD)0
Skewness20.90098747
Sum0.4656966714
Variance3.262041408 × 105
MonotocityNot monotonic
2022-10-21T12:51:45.197538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
01100
98.0%
0.00079732100141
 
0.1%
6.86374412 × 1051
 
0.1%
0.011853130181
 
0.1%
0.0056699515191
 
0.1%
0.00014494112831
 
0.1%
0.049715909091
 
0.1%
0.15412004071
 
0.1%
0.015695355721
 
0.1%
0.00012901335051
 
0.1%
Other values (13)13
 
1.2%
ValueCountFrequency (%)
01100
98.0%
1.480867196 × 1051
 
0.1%
6.86374412 × 1051
 
0.1%
0.00012901335051
 
0.1%
0.00014444444441
 
0.1%
ValueCountFrequency (%)
0.15412004071
0.1%
0.077721915441
0.1%
0.049715909091
0.1%
0.046673330151
0.1%
0.030164973041
0.1%

globcover_cls20
Real number (ℝ≥0)

Distinct1112
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1151485016
Minimum0
Maximum0.6935055742
Zeros11
Zeros (%)1.0%
Memory size8.9 KiB
2022-10-21T12:51:45.307946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005627766433
Q10.03392225658
median0.08867753901
Q30.1630976513
95-th percentile0.3279143016
Maximum0.6935055742
Range0.6935055742
Interquartile range (IQR)0.1291753947

Descriptive statistics

Standard deviation0.1032258326
Coefficient of variation (CV)0.8964583222
Kurtosis2.283765186
Mean0.1151485016
Median Absolute Deviation (MAD)0.06054432924
Skewness1.391358437
Sum129.1966188
Variance0.01065557251
MonotocityNot monotonic
2022-10-21T12:51:45.424430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011
 
1.0%
0.13585326881
 
0.1%
0.067092034031
 
0.1%
0.030240310651
 
0.1%
0.14789640681
 
0.1%
0.18617261641
 
0.1%
0.046631595081
 
0.1%
0.075233494361
 
0.1%
0.19208626861
 
0.1%
0.0383681961
 
0.1%
Other values (1102)1102
98.2%
ValueCountFrequency (%)
011
1.0%
6.674230795 × 1051
 
0.1%
0.00040862192261
 
0.1%
0.00053396284741
 
0.1%
0.00067399637731
 
0.1%
ValueCountFrequency (%)
0.69350557421
0.1%
0.61393537781
0.1%
0.54608319261
0.1%
0.52466047181
0.1%
0.47247745941
0.1%

globcover_cls200
Real number (ℝ≥0)

ZEROS

Distinct193
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001520266085
Minimum0
Maximum0.06448591397
Zeros930
Zeros (%)82.9%
Memory size8.9 KiB
2022-10-21T12:51:45.556682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.008725439787
Maximum0.06448591397
Range0.06448591397
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005738331142
Coefficient of variation (CV)3.774557098
Kurtosis43.97665778
Mean0.001520266085
Median Absolute Deviation (MAD)0
Skewness5.985046819
Sum1.705738548
Variance3.29284443 × 105
MonotocityNot monotonic
2022-10-21T12:51:45.681640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0930
82.9%
0.027381684081
 
0.1%
0.0035485678391
 
0.1%
0.001427192891
 
0.1%
0.04359069081
 
0.1%
0.021215914521
 
0.1%
0.0049147503191
 
0.1%
0.025964651331
 
0.1%
0.0019081712311
 
0.1%
0.00076544627371
 
0.1%
Other values (183)183
 
16.3%
ValueCountFrequency (%)
0930
82.9%
4.856852371 × 1051
 
0.1%
7.973210014 × 1051
 
0.1%
9.129752036 × 1051
 
0.1%
0.00011212578021
 
0.1%
ValueCountFrequency (%)
0.064485913971
0.1%
0.060130522521
0.1%
0.051995784131
0.1%
0.045332628531
0.1%
0.04359069081
0.1%

globcover_cls210
Real number (ℝ≥0)

ZEROS

Distinct435
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01380824496
Minimum0
Maximum0.6286281246
Zeros688
Zeros (%)61.3%
Memory size8.9 KiB
2022-10-21T12:51:45.815057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.004751631533
95-th percentile0.0689645981
Maximum0.6286281246
Range0.6286281246
Interquartile range (IQR)0.004751631533

Descriptive statistics

Standard deviation0.04888402309
Coefficient of variation (CV)3.54020538
Kurtosis52.19015709
Mean0.01380824496
Median Absolute Deviation (MAD)0
Skewness6.485036236
Sum15.49285085
Variance0.002389647714
MonotocityNot monotonic
2022-10-21T12:51:45.937296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0688
61.3%
0.051898463061
 
0.1%
0.0089273788981
 
0.1%
0.0029154518951
 
0.1%
0.00081794387091
 
0.1%
0.030353178031
 
0.1%
0.0039407055841
 
0.1%
0.000886219291
 
0.1%
0.039389492221
 
0.1%
0.024120096361
 
0.1%
Other values (425)425
37.9%
ValueCountFrequency (%)
0688
61.3%
1.327739126 × 1051
 
0.1%
6.450919256 × 1051
 
0.1%
6.895125147 × 1051
 
0.1%
7.034355008 × 1051
 
0.1%
ValueCountFrequency (%)
0.62862812461
0.1%
0.46150379331
0.1%
0.4466868121
0.1%
0.39320231751
0.1%
0.39276268331
0.1%

globcover_cls220
Real number (ℝ≥0)

ZEROS

Distinct128
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006947613293
Minimum0
Maximum0.06554467915
Zeros995
Zeros (%)88.7%
Memory size8.9 KiB
2022-10-21T12:51:46.075431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002465530546
Maximum0.06554467915
Range0.06554467915
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004126471871
Coefficient of variation (CV)5.939409257
Kurtosis116.9618574
Mean0.0006947613293
Median Absolute Deviation (MAD)0
Skewness9.913333484
Sum0.7795222115
Variance1.70277701 × 105
MonotocityNot monotonic
2022-10-21T12:51:46.204099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0995
88.7%
0.00035808984641
 
0.1%
0.0052086682531
 
0.1%
0.012764209661
 
0.1%
0.00045842742411
 
0.1%
0.00051308363261
 
0.1%
0.00036381275771
 
0.1%
0.015457058041
 
0.1%
0.00069890554371
 
0.1%
0.002582547171
 
0.1%
Other values (118)118
 
10.5%
ValueCountFrequency (%)
0995
88.7%
2.687642221 × 1051
 
0.1%
5.042821963 × 1051
 
0.1%
5.142651437 × 1051
 
0.1%
0.00010864788911
 
0.1%
ValueCountFrequency (%)
0.065544679151
0.1%
0.052902930871
0.1%
0.04773291641
0.1%
0.043192094521
0.1%
0.039333116481
0.1%

globcover_cls30
Real number (ℝ≥0)

Distinct1118
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1720640986
Minimum0
Maximum0.8453333333
Zeros5
Zeros (%)0.4%
Memory size8.9 KiB
2022-10-21T12:51:46.319763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004050919992
Q10.04649838892
median0.1243443583
Q30.2629649884
95-th percentile0.4943816666
Maximum0.8453333333
Range0.8453333333
Interquartile range (IQR)0.2164665994

Descriptive statistics

Standard deviation0.1575686478
Coefficient of variation (CV)0.915755518
Kurtosis0.5201422293
Mean0.1720640986
Median Absolute Deviation (MAD)0.09114249137
Skewness1.090091461
Sum193.0559187
Variance0.02482787876
MonotocityNot monotonic
2022-10-21T12:51:46.428738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05
 
0.4%
0.26916924551
 
0.1%
0.055865921791
 
0.1%
0.16381812321
 
0.1%
0.28198269081
 
0.1%
0.064230936671
 
0.1%
0.16892603781
 
0.1%
0.071948344781
 
0.1%
0.015881730131
 
0.1%
0.29286514761
 
0.1%
Other values (1108)1108
98.8%
ValueCountFrequency (%)
05
0.4%
0.00025807931641
 
0.1%
0.00063011972271
 
0.1%
0.00067530087071
 
0.1%
0.00073434618711
 
0.1%
ValueCountFrequency (%)
0.84533333331
0.1%
0.73662551441
0.1%
0.71524050631
0.1%
0.69614356621
0.1%
0.69420511051
0.1%

globcover_cls40
Real number (ℝ≥0)

ZEROS

Distinct1111
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4989924073
Minimum0
Maximum0.9971896692
Zeros12
Zeros (%)1.1%
Memory size8.9 KiB
2022-10-21T12:51:46.548042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02367468526
Q10.2739473578
median0.5291514448
Q30.7321385848
95-th percentile0.9205104355
Maximum0.9971896692
Range0.9971896692
Interquartile range (IQR)0.4581912269

Descriptive statistics

Standard deviation0.2812484763
Coefficient of variation (CV)0.5636327773
Kurtosis-1.085825369
Mean0.4989924073
Median Absolute Deviation (MAD)0.2238163489
Skewness-0.1961399404
Sum559.869481
Variance0.07910070545
MonotocityNot monotonic
2022-10-21T12:51:46.674343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
1.1%
0.50929752071
 
0.1%
0.51036749831
 
0.1%
0.95343899731
 
0.1%
0.81951387691
 
0.1%
0.84018949861
 
0.1%
0.71116147941
 
0.1%
0.012425886211
 
0.1%
0.95160767721
 
0.1%
0.21523705981
 
0.1%
Other values (1101)1101
98.1%
ValueCountFrequency (%)
012
1.1%
0.00065973940291
 
0.1%
0.0014873869591
 
0.1%
0.0017447418741
 
0.1%
0.001822784811
 
0.1%
ValueCountFrequency (%)
0.99718966921
0.1%
0.99711958681
0.1%
0.99054298831
0.1%
0.98719250731
0.1%
0.98313803941
0.1%

globcover_cls50
Real number (ℝ≥0)

ZEROS

Distinct672
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00612869744
Minimum0
Maximum0.190926276
Zeros451
Zeros (%)40.2%
Memory size8.9 KiB
2022-10-21T12:51:46.795435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0005196548223
Q30.005905583141
95-th percentile0.02998739278
Maximum0.190926276
Range0.190926276
Interquartile range (IQR)0.005905583141

Descriptive statistics

Standard deviation0.01434690015
Coefficient of variation (CV)2.340937905
Kurtosis47.4946036
Mean0.00612869744
Median Absolute Deviation (MAD)0.0005196548223
Skewness5.56479166
Sum6.876398528
Variance0.0002058335438
MonotocityNot monotonic
2022-10-21T12:51:46.926821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0451
40.2%
0.0028232636931
 
0.1%
0.00033279056781
 
0.1%
0.0055624929051
 
0.1%
0.15826275791
 
0.1%
0.0044868758881
 
0.1%
0.0083520065191
 
0.1%
0.0032694702911
 
0.1%
0.0015432495691
 
0.1%
0.0081054527591
 
0.1%
Other values (662)662
59.0%
ValueCountFrequency (%)
0451
40.2%
1.494969428 × 1051
 
0.1%
1.890723081 × 1051
 
0.1%
3.284287966 × 1051
 
0.1%
3.921414846 × 1051
 
0.1%
ValueCountFrequency (%)
0.1909262761
0.1%
0.15826275791
0.1%
0.13443235891
0.1%
0.10348644161
0.1%
0.095451040861
0.1%

globcover_cls60
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
0
1122 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
01122
100.0%

globcover_dst0
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean846093.4142
Minimum0
Maximum1871932.679
Zeros1
Zeros (%)0.1%
Memory size8.9 KiB
2022-10-21T12:51:47.473514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile317531.5938
Q1690424.1727
median853446.5986
Q3998077.5388
95-th percentile1332387.747
Maximum1871932.679
Range1871932.679
Interquartile range (IQR)307653.3661

Descriptive statistics

Standard deviation293016.2247
Coefficient of variation (CV)0.3463166357
Kurtosis-0.02454678705
Mean846093.4142
Median Absolute Deviation (MAD)152830.7372
Skewness0.01958504184
Sum949316810.8
Variance8.585850794 × 1010
MonotocityNot monotonic
2022-10-21T12:51:47.582568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
0.1%
996080.51281
 
0.1%
917654.78971
 
0.1%
914942.3881
 
0.1%
723421.02061
 
0.1%
811018.56331
 
0.1%
828173.73631
 
0.1%
1081709.4281
 
0.1%
887645.99231
 
0.1%
961025.17791
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
01
0.1%
78958.708531
0.1%
138685.01351
0.1%
182211.01221
0.1%
207033.93741
0.1%
ValueCountFrequency (%)
1871932.6791
0.1%
1861816.9851
0.1%
1742336.5131
0.1%
1687008.9091
0.1%
1679841.1061
0.1%

globcover_dst100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1194551.436
Minimum545575.2939
Maximum1949221.416
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:47.700443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum545575.2939
5-th percentile645455.3028
Q11045711.923
median1202538.725
Q31391453.298
95-th percentile1649261.907
Maximum1949221.416
Range1403646.122
Interquartile range (IQR)345741.3746

Descriptive statistics

Standard deviation285751.8709
Coefficient of variation (CV)0.2392126971
Kurtosis-0.3258719188
Mean1194551.436
Median Absolute Deviation (MAD)175049.2822
Skewness-0.2472938934
Sum1340286711
Variance8.165413171 × 1010
MonotocityNot monotonic
2022-10-21T12:51:47.825893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
789435.49221
 
0.1%
982533.29561
 
0.1%
1288071.3851
 
0.1%
1091012.8211
 
0.1%
862628.30811
 
0.1%
1167750.5441
 
0.1%
1126394.111
 
0.1%
1462495.711
 
0.1%
1334639.9211
 
0.1%
1134279.2951
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
545575.29391
0.1%
547333.58541
0.1%
552535.39731
0.1%
556791.55381
0.1%
558444.44411
0.1%
ValueCountFrequency (%)
1949221.4161
0.1%
1867997.8061
0.1%
1866859.2621
0.1%
1860325.7231
0.1%
1833085.4721
0.1%

globcover_dst110
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7126.73678
Minimum116.5029586
Maximum466975.0117
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:47.959936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum116.5029586
5-th percentile629.173849
Q12216.422163
median4196.016815
Q37674.269423
95-th percentile17292.19731
Maximum466975.0117
Range466858.5087
Interquartile range (IQR)5457.847261

Descriptive statistics

Standard deviation20042.16416
Coefficient of variation (CV)2.81224981
Kurtosis385.9633988
Mean7126.73678
Median Absolute Deviation (MAD)2409.208358
Skewness18.15858584
Sum7996198.668
Variance401688344.1
MonotocityNot monotonic
2022-10-21T12:51:48.082273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2615.8256491
 
0.1%
15315.516211
 
0.1%
3590.5545841
 
0.1%
1452.2776141
 
0.1%
1721.0224691
 
0.1%
5639.9110291
 
0.1%
2488.1169281
 
0.1%
2000.6246341
 
0.1%
618.1208911
 
0.1%
3549.2129411
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
116.50295861
0.1%
148.4026091
0.1%
189.07714821
0.1%
202.75877611
0.1%
213.28058821
0.1%
ValueCountFrequency (%)
466975.01171
0.1%
404862.31951
0.1%
101329.0011
0.1%
92618.710561
0.1%
82604.545031
0.1%

globcover_dst120
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26511.94204
Minimum300.6513852
Maximum678283.6441
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:48.200453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum300.6513852
5-th percentile1037.298615
Q14157.776386
median9830.543566
Q320838.61263
95-th percentile101172.9749
Maximum678283.6441
Range677982.9927
Interquartile range (IQR)16680.83624

Descriptive statistics

Standard deviation61919.79679
Coefficient of variation (CV)2.335543609
Kurtosis42.8739918
Mean26511.94204
Median Absolute Deviation (MAD)6886.565978
Skewness5.896669359
Sum29746398.97
Variance3834061234
MonotocityNot monotonic
2022-10-21T12:51:48.340908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8484.8006881
 
0.1%
4121.5824911
 
0.1%
5769.1778681
 
0.1%
1886.7375481
 
0.1%
4289.5604321
 
0.1%
874.27695091
 
0.1%
5554.4206211
 
0.1%
8048.5150631
 
0.1%
2790.4079211
 
0.1%
959.54756081
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
300.65138521
0.1%
366.81925891
0.1%
372.35992121
0.1%
436.48409311
0.1%
476.8930911
0.1%
ValueCountFrequency (%)
678283.64411
0.1%
669927.52391
0.1%
574402.611
0.1%
481171.13771
0.1%
477775.88681
0.1%

globcover_dst130
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18710.84468
Minimum403.3045642
Maximum459608.1656
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:48.474794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum403.3045642
5-th percentile1311.903598
Q13827.070549
median10415.11515
Q325943.52302
95-th percentile56581.00862
Maximum459608.1656
Range459204.8611
Interquartile range (IQR)22116.45247

Descriptive statistics

Standard deviation26758.56189
Coefficient of variation (CV)1.430109776
Kurtosis104.4016307
Mean18710.84468
Median Absolute Deviation (MAD)8031.743824
Skewness7.62416635
Sum20993567.73
Variance716020634.5
MonotocityNot monotonic
2022-10-21T12:51:48.597483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5627.5272731
 
0.1%
6985.1632241
 
0.1%
2450.6645561
 
0.1%
6146.2311411
 
0.1%
5866.8342011
 
0.1%
51136.971241
 
0.1%
196694.35151
 
0.1%
29426.039461
 
0.1%
4117.334891
 
0.1%
1544.3245131
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
403.30456421
0.1%
407.1270731
0.1%
455.00282331
0.1%
484.43364351
0.1%
547.01542211
0.1%
ValueCountFrequency (%)
459608.16561
0.1%
399684.58111
0.1%
196694.35151
0.1%
158575.29881
0.1%
126452.86191
0.1%

globcover_dst14
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18618.60424
Minimum121.6644239
Maximum665722.75
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:48.721939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum121.6644239
5-th percentile1223.671232
Q12970.892988
median5916.620026
Q311580.97045
95-th percentile40456.66331
Maximum665722.75
Range665601.0856
Interquartile range (IQR)8610.077463

Descriptive statistics

Standard deviation61738.01401
Coefficient of variation (CV)3.315931378
Kurtosis50.82475881
Mean18618.60424
Median Absolute Deviation (MAD)3530.527535
Skewness6.781159077
Sum20890073.95
Variance3811582373
MonotocityNot monotonic
2022-10-21T12:51:48.834992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4484.0161941
 
0.1%
5471.6783591
 
0.1%
18570.964891
 
0.1%
2685.0857361
 
0.1%
8114.7198081
 
0.1%
4050.4027811
 
0.1%
28620.615261
 
0.1%
1225.6016881
 
0.1%
2875.7218451
 
0.1%
1125.9066511
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
121.66442391
0.1%
140.0762511
0.1%
209.29982271
0.1%
256.73820271
0.1%
346.29006361
0.1%
ValueCountFrequency (%)
665722.751
0.1%
656655.94351
0.1%
587160.86091
0.1%
562889.49921
0.1%
495570.46331
0.1%

globcover_dst140
Real number (ℝ≥0)

SKEWED
UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5262.549018
Minimum38.73526998
Maximum469623.0131
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:48.946689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum38.73526998
5-th percentile354.6380335
Q11784.333795
median3218.11605
Q35457.313451
95-th percentile13558.71017
Maximum469623.0131
Range469584.2778
Interquartile range (IQR)3672.979656

Descriptive statistics

Standard deviation18906.90791
Coefficient of variation (CV)3.592728133
Kurtosis504.2982188
Mean5262.549018
Median Absolute Deviation (MAD)1732.805808
Skewness21.78863724
Sum5904579.998
Variance357471166.6
MonotocityNot monotonic
2022-10-21T12:51:49.057623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12039.136491
 
0.1%
9066.3589141
 
0.1%
4820.1183031
 
0.1%
953.6445991
 
0.1%
648.61903711
 
0.1%
4442.7969851
 
0.1%
426.2226191
 
0.1%
7785.901961
 
0.1%
3987.7650841
 
0.1%
2626.0459271
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
38.735269981
0.1%
53.337955061
0.1%
60.385517671
0.1%
68.170463881
0.1%
68.739332771
0.1%
ValueCountFrequency (%)
469623.01311
0.1%
405938.11381
0.1%
58970.492031
0.1%
36008.23721
0.1%
34563.299941
0.1%

globcover_dst150
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58693.73996
Minimum2141.721705
Maximum824000.617
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:49.166358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2141.721705
5-th percentile11115.7318
Q127475.64908
median43715.02127
Q365843.8639
95-th percentile133338.1411
Maximum824000.617
Range821858.8953
Interquartile range (IQR)38368.21482

Descriptive statistics

Standard deviation73397.51627
Coefficient of variation (CV)1.250516943
Kurtosis42.79018906
Mean58693.73996
Median Absolute Deviation (MAD)18771.67601
Skewness5.784152755
Sum65854376.24
Variance5387195395
MonotocityNot monotonic
2022-10-21T12:51:49.280599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14742.970051
 
0.1%
7963.5330961
 
0.1%
24135.384261
 
0.1%
165480.48851
 
0.1%
76584.067881
 
0.1%
2597.2573821
 
0.1%
39004.896181
 
0.1%
42155.325211
 
0.1%
13222.679661
 
0.1%
36616.525111
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
2141.7217051
0.1%
2571.1715031
0.1%
2597.2573821
0.1%
2686.7369321
0.1%
3313.3745171
0.1%
ValueCountFrequency (%)
824000.6171
0.1%
817094.70021
0.1%
717017.65551
0.1%
613930.44991
0.1%
611912.2521
0.1%

globcover_dst160
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40419.06287
Minimum1381.435807
Maximum721520.7781
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:49.408678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1381.435807
5-th percentile5040.398479
Q115792.78133
median32492.39196
Q353789.6197
95-th percentile103956.2024
Maximum721520.7781
Range720139.3423
Interquartile range (IQR)37996.83836

Descriptive statistics

Standard deviation40989.37149
Coefficient of variation (CV)1.014109892
Kurtosis122.4363628
Mean40419.06287
Median Absolute Deviation (MAD)18290.65614
Skewness7.998277744
Sum45350188.54
Variance1680128575
MonotocityNot monotonic
2022-10-21T12:51:49.535865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4304.5855221
 
0.1%
3609.2213891
 
0.1%
14375.124281
 
0.1%
55432.806441
 
0.1%
32583.143751
 
0.1%
24449.8481
 
0.1%
5342.8119781
 
0.1%
14712.943571
 
0.1%
116102.43021
 
0.1%
23550.141211
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1381.4358071
0.1%
1633.1152151
0.1%
1855.2057841
0.1%
1999.1445781
0.1%
2201.9965451
0.1%
ValueCountFrequency (%)
721520.77811
0.1%
688689.52311
0.1%
140962.41691
0.1%
140475.86691
0.1%
128911.44641
0.1%

globcover_dst170
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310853.9625
Minimum1441.441213
Maximum1159173.776
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:49.653971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1441.441213
5-th percentile27839.15202
Q1166742.8765
median312510.2939
Q3437767.8614
95-th percentile545799.828
Maximum1159173.776
Range1157732.335
Interquartile range (IQR)271024.9849

Descriptive statistics

Standard deviation181784.2725
Coefficient of variation (CV)0.584789948
Kurtosis1.299852055
Mean310853.9625
Median Absolute Deviation (MAD)133187.5807
Skewness0.5922491661
Sum348778145.9
Variance3.304552175 × 1010
MonotocityNot monotonic
2022-10-21T12:51:49.765542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81170.545161
 
0.1%
18164.594761
 
0.1%
453218.51361
 
0.1%
329817.18321
 
0.1%
119917.66691
 
0.1%
66856.75791
 
0.1%
477600.30891
 
0.1%
371493.3651
 
0.1%
236718.81651
 
0.1%
362864.29381
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1441.4412131
0.1%
3292.8773461
0.1%
3768.3015231
0.1%
4375.4274881
0.1%
5281.6238511
0.1%
ValueCountFrequency (%)
1159173.7761
0.1%
1069736.9791
0.1%
1067235.6381
0.1%
1033125.6781
0.1%
1023553.9661
0.1%

globcover_dst180
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30108.32224
Minimum1267.193539
Maximum578534.4055
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:49.888880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1267.193539
5-th percentile5663.889957
Q113595.51922
median24599.71153
Q341597.41983
95-th percentile67189.83404
Maximum578534.4055
Range577267.212
Interquartile range (IQR)28001.90061

Descriptive statistics

Standard deviation29748.68133
Coefficient of variation (CV)0.9880550998
Kurtosis177.7051001
Mean30108.32224
Median Absolute Deviation (MAD)12931.62396
Skewness10.28547435
Sum33781537.55
Variance884984041
MonotocityNot monotonic
2022-10-21T12:51:50.029678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35338.172831
 
0.1%
52316.761061
 
0.1%
10258.756391
 
0.1%
61277.866591
 
0.1%
31417.124131
 
0.1%
54164.994761
 
0.1%
20691.465881
 
0.1%
27749.869911
 
0.1%
5362.2891911
 
0.1%
9711.169231
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1267.1935391
0.1%
2781.5125671
0.1%
2806.5087931
0.1%
2921.3900251
0.1%
2971.1847711
0.1%
ValueCountFrequency (%)
578534.40551
0.1%
538496.79681
0.1%
109100.361
0.1%
101484.20751
0.1%
101276.9951
0.1%

globcover_dst190
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104637.8805
Minimum1183.031027
Maximum917243.0342
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:50.162426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1183.031027
5-th percentile18841.10879
Q148242.29862
median84627.46155
Q3129169.3813
95-th percentile224511.5737
Maximum917243.0342
Range916060.0032
Interquartile range (IQR)80927.08271

Descriptive statistics

Standard deviation97701.73567
Coefficient of variation (CV)0.9337128695
Kurtosis20.30430673
Mean104637.8805
Median Absolute Deviation (MAD)39714.7408
Skewness3.76504252
Sum117403701.9
Variance9545629153
MonotocityNot monotonic
2022-10-21T12:51:50.287981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80352.782941
 
0.1%
56569.889351
 
0.1%
30729.020061
 
0.1%
48144.7581
 
0.1%
42328.686731
 
0.1%
112126.13981
 
0.1%
461240.16181
 
0.1%
48968.963061
 
0.1%
38465.053671
 
0.1%
161620.21031
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1183.0310271
0.1%
2546.2677561
0.1%
2995.0989291
0.1%
4487.5665521
0.1%
4969.0190651
0.1%
ValueCountFrequency (%)
917243.03421
0.1%
894659.8411
0.1%
829669.76841
0.1%
732689.61031
0.1%
723934.12041
0.1%

globcover_dst20
Real number (ℝ≥0)

SKEWED
UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2562.166118
Minimum100.1825481
Maximum459769.5774
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:50.437969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum100.1825481
5-th percentile346.075534
Q1699.1823486
median1232.501698
Q32363.259879
95-th percentile5076.908164
Maximum459769.5774
Range459669.3949
Interquartile range (IQR)1664.077531

Descriptive statistics

Standard deviation18194.13164
Coefficient of variation (CV)7.101074173
Kurtosis559.0394067
Mean2562.166118
Median Absolute Deviation (MAD)668.2851227
Skewness23.50425786
Sum2874750.384
Variance331026426.3
MonotocityNot monotonic
2022-10-21T12:51:50.557620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
469.38242571
 
0.1%
432.287631
 
0.1%
1428.5410881
 
0.1%
708.02135141
 
0.1%
335.17829621
 
0.1%
599.66413951
 
0.1%
491.45634091
 
0.1%
3433.5190021
 
0.1%
720.02798971
 
0.1%
470.9684821
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
100.18254811
0.1%
128.58952621
0.1%
134.24048841
0.1%
157.29727091
0.1%
160.55684321
0.1%
ValueCountFrequency (%)
459769.57741
0.1%
400096.87511
0.1%
16387.083641
0.1%
14868.606151
0.1%
12618.059771
0.1%

globcover_dst200
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52626.99024
Minimum2746.84847
Maximum830445.6873
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:50.689819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2746.84847
5-th percentile6607.460183
Q118781.85298
median35012.7251
Q359909.82666
95-th percentile123132.7434
Maximum830445.6873
Range827698.8388
Interquartile range (IQR)41127.97368

Descriptive statistics

Standard deviation77101.88731
Coefficient of variation (CV)1.465063591
Kurtosis39.88656886
Mean52626.99024
Median Absolute Deviation (MAD)19171.28868
Skewness5.629548355
Sum59047483.04
Variance5944701027
MonotocityNot monotonic
2022-10-21T12:51:50.818789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8231.5002861
 
0.1%
56275.185911
 
0.1%
201888.96261
 
0.1%
649406.24171
 
0.1%
11588.91081
 
0.1%
26080.290691
 
0.1%
49506.0811
 
0.1%
104039.44981
 
0.1%
48835.103821
 
0.1%
35144.869231
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
2746.848471
0.1%
2864.8007271
0.1%
3123.8665541
0.1%
3445.9168021
0.1%
3455.7535631
0.1%
ValueCountFrequency (%)
830445.68731
0.1%
785388.08251
0.1%
762848.79911
0.1%
664803.2571
0.1%
649406.24171
0.1%

globcover_dst210
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20502.07194
Minimum152.2652295
Maximum67103.27769
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:50.947710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum152.2652295
5-th percentile3161.304873
Q110270.40775
median17915.78156
Q328330.78314
95-th percentile45760.38499
Maximum67103.27769
Range66951.01246
Interquartile range (IQR)18060.3754

Descriptive statistics

Standard deviation13149.36189
Coefficient of variation (CV)0.6413674639
Kurtosis0.06518594154
Mean20502.07194
Median Absolute Deviation (MAD)8739.903691
Skewness0.7613914701
Sum23003324.72
Variance172905718
MonotocityNot monotonic
2022-10-21T12:51:51.090700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26972.014691
 
0.1%
21622.612841
 
0.1%
4733.602821
 
0.1%
11490.683071
 
0.1%
9884.3563291
 
0.1%
5560.5529441
 
0.1%
35184.182211
 
0.1%
4203.9734651
 
0.1%
16557.662761
 
0.1%
10172.563471
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
152.26522951
0.1%
273.69375691
0.1%
312.76962981
0.1%
317.44439541
0.1%
528.54629831
0.1%
ValueCountFrequency (%)
67103.277691
0.1%
66063.2131
0.1%
62294.313531
0.1%
61808.252961
0.1%
58898.127361
0.1%

globcover_dst220
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77539.94164
Minimum2616.866607
Maximum882763.8511
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:51.228896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2616.866607
5-th percentile8883.582084
Q121678.67776
median38968.69368
Q385898.73189
95-th percentile246165.9558
Maximum882763.8511
Range880146.9845
Interquartile range (IQR)64220.05413

Descriptive statistics

Standard deviation108406.1702
Coefficient of variation (CV)1.398068762
Kurtosis18.70205839
Mean77539.94164
Median Absolute Deviation (MAD)22565.8174
Skewness3.779453005
Sum86999814.52
Variance1.175189774 × 1010
MonotocityNot monotonic
2022-10-21T12:51:51.339109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99701.032871
 
0.1%
28473.234531
 
0.1%
882763.85111
 
0.1%
16161.612351
 
0.1%
141237.56441
 
0.1%
537265.58041
 
0.1%
28848.464781
 
0.1%
25807.907791
 
0.1%
58752.057861
 
0.1%
169662.28411
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
2616.8666071
0.1%
2788.9789341
0.1%
3514.6024621
0.1%
3550.0087151
0.1%
4117.4965811
0.1%
ValueCountFrequency (%)
882763.85111
0.1%
878574.68951
0.1%
862692.65281
0.1%
837876.93391
0.1%
786112.67391
0.1%

globcover_dst30
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1908.995861
Minimum21.03666667
Maximum94335.43744
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:51.473380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21.03666667
5-th percentile166.3928277
Q1533.6621767
median1170.311899
Q32387.095798
95-th percentile5633.718227
Maximum94335.43744
Range94314.40078
Interquartile range (IQR)1853.433621

Descriptive statistics

Standard deviation3397.691458
Coefficient of variation (CV)1.779831757
Kurtosis489.3616795
Mean1908.995861
Median Absolute Deviation (MAD)773.0082621
Skewness18.4539103
Sum2141893.356
Variance11544307.24
MonotocityNot monotonic
2022-10-21T12:51:51.603157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
921.84232541
 
0.1%
1715.606381
 
0.1%
1375.6171251
 
0.1%
1070.7115581
 
0.1%
303.7135151
 
0.1%
5096.9614171
 
0.1%
873.74066181
 
0.1%
5567.5457671
 
0.1%
4999.8686821
 
0.1%
277.41067491
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
21.036666671
0.1%
49.615607381
0.1%
63.078558011
0.1%
64.43803851
0.1%
72.53102661
0.1%
ValueCountFrequency (%)
94335.437441
0.1%
16822.981311
0.1%
12111.654281
0.1%
12005.641591
0.1%
11840.495441
0.1%

globcover_dst40
Real number (ℝ≥0)

SKEWED
UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745.2647249
Minimum0.3178386969
Maximum93338.74437
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:51.733612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3178386969
5-th percentile20.4093158
Q193.75337497
median233.2171129
Q3666.5636476
95-th percentile2794.746812
Maximum93338.74437
Range93338.42654
Interquartile range (IQR)572.8102727

Descriptive statistics

Standard deviation3046.332162
Coefficient of variation (CV)4.087583995
Kurtosis763.673281
Mean745.2647249
Median Absolute Deviation (MAD)185.5069539
Skewness25.45629046
Sum836187.0213
Variance9280139.639
MonotocityNot monotonic
2022-10-21T12:51:51.856613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
641.54491921
 
0.1%
711.14380111
 
0.1%
571.01341611
 
0.1%
171.57194711
 
0.1%
390.24545091
 
0.1%
8.5392532451
 
0.1%
37.330424291
 
0.1%
619.85626191
 
0.1%
538.87020821
 
0.1%
78.539103961
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
0.31783869691
0.1%
0.35308995871
0.1%
1.6215865491
0.1%
1.6540081721
0.1%
2.3792512151
0.1%
ValueCountFrequency (%)
93338.744371
0.1%
15731.705631
0.1%
12552.748171
0.1%
11434.769831
0.1%
10161.776871
0.1%

globcover_dst50
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22697.24054
Minimum657.8147448
Maximum724946.5742
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:51.995948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum657.8147448
5-th percentile2169.808897
Q14646.576826
median8278.684876
Q316686.47778
95-th percentile70086.62391
Maximum724946.5742
Range724288.7594
Interquartile range (IQR)12039.90096

Descriptive statistics

Standard deviation62804.48088
Coefficient of variation (CV)2.767053588
Kurtosis54.99745151
Mean22697.24054
Median Absolute Deviation (MAD)4681.029869
Skewness6.888129987
Sum25466303.89
Variance3944402818
MonotocityNot monotonic
2022-10-21T12:51:52.134319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21273.304941
 
0.1%
8418.5750861
 
0.1%
18161.807621
 
0.1%
16215.038991
 
0.1%
5122.5761771
 
0.1%
6203.3263511
 
0.1%
3192.8369621
 
0.1%
11439.591051
 
0.1%
3816.5348531
 
0.1%
55961.406261
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
657.81474481
0.1%
750.87825121
0.1%
793.34970681
0.1%
864.17386131
0.1%
902.02577121
0.1%
ValueCountFrequency (%)
724946.57421
0.1%
717389.96641
0.1%
618872.51121
0.1%
515657.31441
0.1%
514414.88831
0.1%

globcover_dst60
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1181184.878
Minimum532447.7253
Maximum1941530.931
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:52.699687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum532447.7253
5-th percentile637983.6596
Q11024363.101
median1189454.55
Q31373326.632
95-th percentile1650501.009
Maximum1941530.931
Range1409083.205
Interquartile range (IQR)348963.5313

Descriptive statistics

Standard deviation288667.9952
Coefficient of variation (CV)0.2443884955
Kurtosis-0.3485438986
Mean1181184.878
Median Absolute Deviation (MAD)173206.2902
Skewness-0.1869316889
Sum1325289433
Variance8.332921146 × 1010
MonotocityNot monotonic
2022-10-21T12:51:52.836115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
655986.28961
 
0.1%
1429062.1571
 
0.1%
1086604.7391
 
0.1%
980419.90181
 
0.1%
645506.83391
 
0.1%
1210193.9511
 
0.1%
1214092.3131
 
0.1%
958228.0881
 
0.1%
1455081.1311
 
0.1%
723490.47951
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
532447.72531
0.1%
533646.73851
0.1%
542416.29821
0.1%
546536.52231
0.1%
549517.67891
0.1%
ValueCountFrequency (%)
1941530.9311
0.1%
1893123.4751
0.1%
1863809.8541
0.1%
1853872.9211
0.1%
1827562.6011
0.1%

hamlets_100
Real number (ℝ≥0)

ZEROS

Distinct817
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002678395504
Minimum0
Maximum0.004707792208
Zeros306
Zeros (%)27.3%
Memory size8.9 KiB
2022-10-21T12:51:52.971973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.429309872 × 105
Q30.0002739791813
95-th percentile0.001091721813
Maximum0.004707792208
Range0.004707792208
Interquartile range (IQR)0.0002739791813

Descriptive statistics

Standard deviation0.0005496745839
Coefficient of variation (CV)2.052253235
Kurtosis25.46711735
Mean0.0002678395504
Median Absolute Deviation (MAD)7.429309872 × 105
Skewness4.46776394
Sum0.3005159755
Variance3.021421482 × 107
MonotocityNot monotonic
2022-10-21T12:51:53.109044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0306
 
27.3%
7.548878991 × 1051
 
0.1%
0.00029710971671
 
0.1%
2.798376941 × 1051
 
0.1%
6.441223833 × 1051
 
0.1%
5.450383344 × 1051
 
0.1%
0.00026638252531
 
0.1%
6.425221135 × 1051
 
0.1%
0.00010013016921
 
0.1%
0.0018166746041
 
0.1%
Other values (807)807
71.9%
ValueCountFrequency (%)
0306
27.3%
6.784007381 × 1071
 
0.1%
7.303006867 × 1071
 
0.1%
8.170588822 × 1071
 
0.1%
1.053994005 × 1061
 
0.1%
ValueCountFrequency (%)
0.0047077922081
0.1%
0.0046777546781
0.1%
0.0046537396121
0.1%
0.0043922552891
0.1%
0.0043779252911
0.1%

hamlets_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8415.944567
Minimum624.8162682
Maximum245346.8963
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:53.226039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum624.8162682
5-th percentile1602.96149
Q13464.952988
median5869.984412
Q39849.164389
95-th percentile21328.14797
Maximum245346.8963
Range244722.08
Interquartile range (IQR)6384.211401

Descriptive statistics

Standard deviation12410.1074
Coefficient of variation (CV)1.474594717
Kurtosis179.0296613
Mean8415.944567
Median Absolute Deviation (MAD)2839.952366
Skewness11.24112709
Sum9442689.804
Variance154010765.6
MonotocityNot monotonic
2022-10-21T12:51:53.346434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2540.2321121
 
0.1%
2416.5162881
 
0.1%
3729.9546631
 
0.1%
4135.2473031
 
0.1%
5395.2694341
 
0.1%
11659.996581
 
0.1%
6191.9136571
 
0.1%
9025.1951211
 
0.1%
11660.249421
 
0.1%
3390.8318921
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
624.81626821
0.1%
656.37889611
0.1%
684.82991691
0.1%
691.61186071
0.1%
707.00360041
0.1%
ValueCountFrequency (%)
245346.89631
0.1%
194828.44841
0.1%
145859.7891
0.1%
95879.841491
0.1%
72223.179771
0.1%

hospitals_100
Real number (ℝ≥0)

ZEROS

Distinct593
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.886626396 × 105
Minimum0
Maximum0.006032994608
Zeros529
Zeros (%)47.1%
Memory size8.9 KiB
2022-10-21T12:51:53.453520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.850356183 × 106
Q38.439854094 × 105
95-th percentile0.0003780027194
Maximum0.006032994608
Range0.006032994608
Interquartile range (IQR)8.439854094 × 105

Descriptive statistics

Standard deviation0.0003582401731
Coefficient of variation (CV)3.623482458
Kurtosis141.7001033
Mean9.886626396 × 105
Median Absolute Deviation (MAD)4.850356183 × 106
Skewness10.66704266
Sum0.1109279482
Variance1.283360216 × 107
MonotocityNot monotonic
2022-10-21T12:51:53.557607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0529
47.1%
1.049736516 × 1052
 
0.2%
0.00021349274121
 
0.1%
5.279803169 × 1061
 
0.1%
3.431744321 × 1061
 
0.1%
4.763560666 × 1061
 
0.1%
7.636502482 × 1051
 
0.1%
1.2562025 × 1051
 
0.1%
4.782172063 × 1051
 
0.1%
9.885037019 × 1061
 
0.1%
Other values (583)583
52.0%
ValueCountFrequency (%)
0529
47.1%
2.363254419 × 1071
 
0.1%
3.042729353 × 1071
 
0.1%
5.959322854 × 1071
 
0.1%
6.157605135 × 1071
 
0.1%
ValueCountFrequency (%)
0.0060329946081
0.1%
0.0053864624571
0.1%
0.0043029719911
0.1%
0.0037088931011
0.1%
0.0030518819941
0.1%

hospitals_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18207.54561
Minimum1137.749746
Maximum362648.7091
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:53.680185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1137.749746
5-th percentile3600.256331
Q16396.925351
median11262.78811
Q320396.77707
95-th percentile49586.60431
Maximum362648.7091
Range361510.9594
Interquartile range (IQR)13999.85172

Descriptive statistics

Standard deviation26119.7582
Coefficient of variation (CV)1.434556791
Kurtosis54.84046586
Mean18207.54561
Median Absolute Deviation (MAD)5645.795954
Skewness6.08432323
Sum20428866.17
Variance682241768.6
MonotocityNot monotonic
2022-10-21T12:51:53.795685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14498.953731
 
0.1%
13786.168131
 
0.1%
4827.9078941
 
0.1%
3922.8174411
 
0.1%
21558.68911
 
0.1%
5777.4425141
 
0.1%
7790.5423731
 
0.1%
3620.5238611
 
0.1%
18600.198651
 
0.1%
3871.4903561
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1137.7497461
0.1%
1828.2092931
0.1%
1949.0023681
0.1%
2073.4883431
0.1%
2088.6330421
0.1%
ValueCountFrequency (%)
362648.70911
0.1%
319973.68841
0.1%
241444.28141
0.1%
185900.95961
0.1%
166742.42211
0.1%

hydro_ele_100
Real number (ℝ)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1306.312058
Minimum-8.868972871
Maximum3698.392322
Zeros1
Zeros (%)0.1%
Memory size8.9 KiB
2022-10-21T12:51:53.925389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-8.868972871
5-th percentile28.54402896
Q1267.7783316
median1281.944876
Q32094.447921
95-th percentile2938.687827
Maximum3698.392322
Range3707.261295
Interquartile range (IQR)1826.669589

Descriptive statistics

Standard deviation992.3691219
Coefficient of variation (CV)0.759672328
Kurtosis-1.183150656
Mean1306.312058
Median Absolute Deviation (MAD)946.8478949
Skewness0.247070443
Sum1465682.129
Variance984796.474
MonotocityNot monotonic
2022-10-21T12:51:54.036583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
0.1%
2713.7786691
 
0.1%
209.73459511
 
0.1%
187.02730571
 
0.1%
148.37403191
 
0.1%
2706.5784851
 
0.1%
2464.1531581
 
0.1%
2070.8248371
 
0.1%
1609.8854821
 
0.1%
137.77575451
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
-8.8689728711
0.1%
-7.7202878681
0.1%
-6.3150226641
0.1%
-3.7180150521
0.1%
-2.3744826891
0.1%
ValueCountFrequency (%)
3698.3923221
0.1%
3595.4725491
0.1%
3448.5951561
0.1%
3383.4220541
0.1%
3382.3332631
0.1%

hydro_slo_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.03567752
Minimum0
Maximum27.01844896
Zeros1
Zeros (%)0.1%
Memory size8.9 KiB
2022-10-21T12:51:54.173493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8933847682
Q14.724237765
median11.2625891
Q316.64836141
95-th percentile21.72684015
Maximum27.01844896
Range27.01844896
Interquartile range (IQR)11.92412365

Descriptive statistics

Standard deviation6.884966597
Coefficient of variation (CV)0.623882547
Kurtosis-1.116853615
Mean11.03567752
Median Absolute Deviation (MAD)5.772729877
Skewness0.005719383992
Sum12382.03017
Variance47.40276504
MonotocityNot monotonic
2022-10-21T12:51:54.301288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2658028711
 
0.1%
17.195190151
 
0.1%
15.704658331
 
0.1%
16.2982821
 
0.1%
16.382355241
 
0.1%
20.371972831
 
0.1%
2.810811471
 
0.1%
16.597748361
 
0.1%
19.804844151
 
0.1%
1.3977449271
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
01
0.1%
0.28006830361
0.1%
0.40837758671
0.1%
0.41796360031
0.1%
0.45614776371
0.1%
ValueCountFrequency (%)
27.018448961
0.1%
26.753484121
0.1%
26.138817281
0.1%
26.082937061
0.1%
25.499837291
0.1%

modis_100
Real number (ℝ≥0)

Distinct1121
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8239.12656
Minimum0
Maximum16932.4637
Zeros2
Zeros (%)0.2%
Memory size8.9 KiB
2022-10-21T12:51:54.428426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3513.56314
Q16293.429804
median8359.719908
Q310183.8736
95-th percentile12892.92385
Maximum16932.4637
Range16932.4637
Interquartile range (IQR)3890.443798

Descriptive statistics

Standard deviation2847.783469
Coefficient of variation (CV)0.3456414279
Kurtosis-0.2630357785
Mean8239.12656
Median Absolute Deviation (MAD)1953.154805
Skewness-0.02325939156
Sum9244300
Variance8109870.685
MonotocityNot monotonic
2022-10-21T12:51:54.557272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
0.2%
7804.8199341
 
0.1%
13114.262721
 
0.1%
10552.29361
 
0.1%
9075.848481
 
0.1%
7271.7711321
 
0.1%
4025.7005231
 
0.1%
8980.4144581
 
0.1%
5537.2088891
 
0.1%
5051.5184671
 
0.1%
Other values (1111)1111
99.0%
ValueCountFrequency (%)
02
0.2%
1003.5728871
0.1%
1055.4228321
0.1%
1205.6667341
0.1%
1344.2185761
0.1%
ValueCountFrequency (%)
16932.46371
0.1%
16427.964651
0.1%
16001.790421
0.1%
15625.052521
0.1%
15348.789061
0.1%

night_lights_100
Real number (ℝ≥0)

ZEROS

Distinct1092
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5605473522
Minimum0
Maximum36.29873521
Zeros31
Zeros (%)2.8%
Memory size8.9 KiB
2022-10-21T12:51:54.693354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0007074989315
Q10.01630336033
median0.06250842806
Q30.2265246022
95-th percentile2.255848527
Maximum36.29873521
Range36.29873521
Interquartile range (IQR)0.2102212418

Descriptive statistics

Standard deviation2.381451509
Coefficient of variation (CV)4.248439494
Kurtosis120.0091355
Mean0.5605473522
Median Absolute Deviation (MAD)0.05532139677
Skewness9.733047194
Sum628.9341292
Variance5.671311291
MonotocityNot monotonic
2022-10-21T12:51:54.837043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
031
 
2.8%
0.30189668371
 
0.1%
0.021303253581
 
0.1%
0.024793541081
 
0.1%
0.81002789731
 
0.1%
0.030477343391
 
0.1%
0.54131353451
 
0.1%
0.17629285771
 
0.1%
0.065407498011
 
0.1%
4.9921168781
 
0.1%
Other values (1082)1082
96.4%
ValueCountFrequency (%)
031
2.8%
3.482150859 × 1061
 
0.1%
5.155322292 × 1061
 
0.1%
1.008949133 × 1051
 
0.1%
3.03758313 × 1051
 
0.1%
ValueCountFrequency (%)
36.298735211
0.1%
34.743307591
0.1%
32.498699811
0.1%
18.309371821
0.1%
17.522551881
0.1%

pharmacies_100
Real number (ℝ≥0)

ZEROS

Distinct253
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.45105909 × 105
Minimum0
Maximum0.01322482197
Zeros870
Zeros (%)77.5%
Memory size8.9 KiB
2022-10-21T12:51:55.002643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0001942197598
Maximum0.01322482197
Range0.01322482197
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0005835792709
Coefficient of variation (CV)7.832165385
Kurtosis312.6821843
Mean7.45105909 × 105
Median Absolute Deviation (MAD)0
Skewness16.38273601
Sum0.08360088299
Variance3.405647654 × 107
MonotocityNot monotonic
2022-10-21T12:51:55.173067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0870
77.5%
1.2562025 × 1051
 
0.1%
2.389229354 × 1061
 
0.1%
4.630701551 × 1051
 
0.1%
0.0001343454021
 
0.1%
0.00049875311721
 
0.1%
0.0023616236161
 
0.1%
0.0071134891231
 
0.1%
0.00034575300061
 
0.1%
0.00023129536421
 
0.1%
Other values (243)243
 
21.7%
ValueCountFrequency (%)
0870
77.5%
6.784007381 × 1071
 
0.1%
1.191864571 × 1061
 
0.1%
1.725220656 × 1061
 
0.1%
2.389229354 × 1061
 
0.1%
ValueCountFrequency (%)
0.013224821971
0.1%
0.0094517958411
0.1%
0.0071134891231
0.1%
0.0047803511091
0.1%
0.0035546290361
0.1%

pharmacies_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31735.68971
Minimum708.6480163
Maximum639630.234
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:55.311852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum708.6480163
5-th percentile4976.253464
Q111026.34288
median19105.6822
Q333223.10686
95-th percentile80638.08155
Maximum639630.234
Range638921.586
Interquartile range (IQR)22196.76398

Descriptive statistics

Standard deviation51917.53497
Coefficient of variation (CV)1.635935297
Kurtosis54.81212601
Mean31735.68971
Median Absolute Deviation (MAD)9663.539466
Skewness6.513543645
Sum35607443.85
Variance2695430437
MonotocityNot monotonic
2022-10-21T12:51:55.441513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6842.9126891
 
0.1%
21529.676561
 
0.1%
17236.450411
 
0.1%
111917.78971
 
0.1%
29968.22811
 
0.1%
10970.706771
 
0.1%
37266.704251
 
0.1%
4194.7169861
 
0.1%
15467.04851
 
0.1%
31412.302221
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
708.64801631
0.1%
1769.5620671
0.1%
2208.5878381
0.1%
2422.1492091
0.1%
2439.0333281
0.1%
ValueCountFrequency (%)
639630.2341
0.1%
594496.47081
0.1%
541652.59441
0.1%
495905.0771
0.1%
458028.08681
0.1%

protected_areas_100
Real number (ℝ≥0)

ZEROS

Distinct665
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1029083476
Minimum0
Maximum1
Zeros457
Zeros (%)40.7%
Memory size8.9 KiB
2022-10-21T12:51:55.604005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003274989297
Q30.1409387113
95-th percentile0.4763187745
Maximum1
Range1
Interquartile range (IQR)0.1409387113

Descriptive statistics

Standard deviation0.1825671946
Coefficient of variation (CV)1.774075659
Kurtosis6.617538731
Mean0.1029083476
Median Absolute Deviation (MAD)0.003274989297
Skewness2.440581607
Sum115.463166
Variance0.03333078054
MonotocityNot monotonic
2022-10-21T12:51:55.742178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0457
40.7%
12
 
0.2%
0.69211588081
 
0.1%
0.0033002481391
 
0.1%
0.084840055631
 
0.1%
0.0064771848411
 
0.1%
0.26573925451
 
0.1%
0.34603070951
 
0.1%
0.24101159251
 
0.1%
0.12410047521
 
0.1%
Other values (655)655
58.4%
ValueCountFrequency (%)
0457
40.7%
1.685184031 × 1061
 
0.1%
3.597918245 × 1061
 
0.1%
1.207198768 × 1051
 
0.1%
1.872238448 × 1051
 
0.1%
ValueCountFrequency (%)
12
0.2%
0.99976907981
0.1%
0.99975282871
0.1%
0.99964499141
0.1%
0.99948897651
0.1%

protected_areas_dist_100
Real number (ℝ≥0)

Distinct1121
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13593.09769
Minimum0
Maximum197044.8851
Zeros2
Zeros (%)0.2%
Memory size8.9 KiB
2022-10-21T12:51:55.903439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1063.449846
Q14334.204977
median9256.194576
Q317706.66184
95-th percentile39438.72416
Maximum197044.8851
Range197044.8851
Interquartile range (IQR)13372.45686

Descriptive statistics

Standard deviation15057.84996
Coefficient of variation (CV)1.107757062
Kurtosis33.83331975
Mean13593.09769
Median Absolute Deviation (MAD)5851.875815
Skewness4.21918958
Sum15251455.6
Variance226738845.3
MonotocityNot monotonic
2022-10-21T12:51:56.077525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
0.2%
7388.3865121
 
0.1%
17106.070541
 
0.1%
13716.949471
 
0.1%
5357.2932331
 
0.1%
19932.205751
 
0.1%
840.21022141
 
0.1%
2811.6513631
 
0.1%
9133.438131
 
0.1%
6671.9695331
 
0.1%
Other values (1111)1111
99.0%
ValueCountFrequency (%)
02
0.2%
0.023092021711
0.1%
0.024717126221
0.1%
0.035500857941
0.1%
0.051102350711
0.1%
ValueCountFrequency (%)
197044.88511
0.1%
153106.98431
0.1%
143109.79721
0.1%
105089.99021
0.1%
96336.876871
0.1%

railways_100
Real number (ℝ≥0)

ZEROS

Distinct112
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005806868785
Minimum0
Maximum0.03249630724
Zeros1011
Zeros (%)90.1%
Memory size8.9 KiB
2022-10-21T12:51:56.242534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.003024094523
Maximum0.03249630724
Range0.03249630724
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002797234729
Coefficient of variation (CV)4.81711372
Kurtosis60.03598161
Mean0.0005806868785
Median Absolute Deviation (MAD)0
Skewness7.137964458
Sum0.6515306776
Variance7.824522131 × 106
MonotocityNot monotonic
2022-10-21T12:51:56.373109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01011
90.1%
0.027219917011
 
0.1%
0.02319039881
 
0.1%
0.0028381525331
 
0.1%
0.0071183997121
 
0.1%
0.0030266231881
 
0.1%
0.0064108043421
 
0.1%
0.0036760632891
 
0.1%
0.0080133555931
 
0.1%
0.0024601815071
 
0.1%
Other values (102)102
 
9.1%
ValueCountFrequency (%)
01011
90.1%
1.453625706 × 1051
 
0.1%
3.284287966 × 1051
 
0.1%
6.614456556 × 1051
 
0.1%
6.888001102 × 1051
 
0.1%
ValueCountFrequency (%)
0.032496307241
0.1%
0.031516468821
0.1%
0.027219917011
0.1%
0.02706913341
0.1%
0.024378918041
0.1%

railways_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95599.01007
Minimum1486.251108
Maximum1000676.84
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:56.517618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1486.251108
5-th percentile6558.00889
Q125736.98612
median56403.10554
Q3113395.7575
95-th percentile298453.5513
Maximum1000676.84
Range999190.5888
Interquartile range (IQR)87658.7714

Descriptive statistics

Standard deviation122583.2103
Coefficient of variation (CV)1.282264432
Kurtosis14.64229077
Mean95599.01007
Median Absolute Deviation (MAD)36022.25685
Skewness3.310359006
Sum107262089.3
Variance1.502664345 × 1010
MonotocityNot monotonic
2022-10-21T12:51:56.664820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39840.055171
 
0.1%
146364.01281
 
0.1%
256047.53991
 
0.1%
92245.255971
 
0.1%
36837.541191
 
0.1%
15231.332571
 
0.1%
209390.6551
 
0.1%
16280.44671
 
0.1%
25102.559741
 
0.1%
166055.23771
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1486.2511081
0.1%
1512.9347611
0.1%
1765.0353621
0.1%
1912.6653971
0.1%
1963.7905731
0.1%
ValueCountFrequency (%)
1000676.841
0.1%
986461.25431
0.1%
902628.03921
0.1%
806227.17591
0.1%
794208.47341
0.1%

rivers_100
Real number (ℝ≥0)

ZEROS

Distinct1106
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02710721777
Minimum0
Maximum0.2188124465
Zeros17
Zeros (%)1.5%
Memory size8.9 KiB
2022-10-21T12:51:56.833534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00365521905
Q10.0130793312
median0.02286206233
Q30.03490946999
95-th percentile0.06372024234
Maximum0.2188124465
Range0.2188124465
Interquartile range (IQR)0.02183013879

Descriptive statistics

Standard deviation0.02286605829
Coefficient of variation (CV)0.8435413213
Kurtosis12.83031462
Mean0.02710721777
Median Absolute Deviation (MAD)0.01091332162
Skewness2.803321531
Sum30.41429834
Variance0.0005228566219
MonotocityNot monotonic
2022-10-21T12:51:57.004086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
1.5%
0.018095426651
 
0.1%
0.02834168061
 
0.1%
0.028476031481
 
0.1%
0.15944168571
 
0.1%
0.026752675271
 
0.1%
0.048469734751
 
0.1%
0.046987951811
 
0.1%
0.019486051521
 
0.1%
0.028232807431
 
0.1%
Other values (1096)1096
97.7%
ValueCountFrequency (%)
017
1.5%
8.672274738 × 1051
 
0.1%
0.00027815122151
 
0.1%
0.00039714058781
 
0.1%
0.00050219711241
 
0.1%
ValueCountFrequency (%)
0.21881244651
0.1%
0.17084632341
0.1%
0.16556323631
0.1%
0.16249217281
0.1%
0.15944168571
0.1%

rivers_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2926.207806
Minimum215.6792749
Maximum99219.36646
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:57.158860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum215.6792749
5-th percentile819.4611529
Q11353.40343
median2163.546527
Q33467.459996
95-th percentile7370.774955
Maximum99219.36646
Range99003.68718
Interquartile range (IQR)2114.056566

Descriptive statistics

Standard deviation3714.437592
Coefficient of variation (CV)1.269369039
Kurtosis404.5366372
Mean2926.207806
Median Absolute Deviation (MAD)935.2629777
Skewness16.24951753
Sum3283205.158
Variance13797046.62
MonotocityNot monotonic
2022-10-21T12:51:57.306928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1865.7872651
 
0.1%
3836.5899871
 
0.1%
5495.9363211
 
0.1%
749.64788271
 
0.1%
2507.7698891
 
0.1%
3124.5896981
 
0.1%
3982.3380941
 
0.1%
2135.6924091
 
0.1%
17404.073711
 
0.1%
1530.5730341
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
215.67927491
0.1%
236.2332891
0.1%
255.86914611
0.1%
258.69911061
0.1%
265.21893821
0.1%
ValueCountFrequency (%)
99219.366461
0.1%
24150.082121
0.1%
18905.299391
0.1%
17404.073711
0.1%
16962.94881
0.1%

roads_100
Real number (ℝ≥0)

ZEROS

Distinct1105
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05574489853
Minimum0
Maximum0.6088504578
Zeros18
Zeros (%)1.6%
Memory size8.9 KiB
2022-10-21T12:51:57.448141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001518546704
Q10.0198227103
median0.04125980724
Q30.07342903091
95-th percentile0.1518546125
Maximum0.6088504578
Range0.6088504578
Interquartile range (IQR)0.05360632061

Descriptive statistics

Standard deviation0.05872382918
Coefficient of variation (CV)1.053438624
Kurtosis18.38708714
Mean0.05574489853
Median Absolute Deviation (MAD)0.02463615653
Skewness3.300894181
Sum62.54577615
Variance0.003448488114
MonotocityNot monotonic
2022-10-21T12:51:57.577071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
1.6%
0.14970645791
 
0.1%
0.04223363791
 
0.1%
0.033973453831
 
0.1%
0.093875850581
 
0.1%
0.08321617461
 
0.1%
0.10688961291
 
0.1%
0.1585500831
 
0.1%
0.074652837011
 
0.1%
0.06723107571
 
0.1%
Other values (1095)1095
97.6%
ValueCountFrequency (%)
018
1.6%
1.09545103 × 1051
 
0.1%
1.166719558 × 1051
 
0.1%
1.213362692 × 1051
 
0.1%
1.215591172 × 1051
 
0.1%
ValueCountFrequency (%)
0.60885045781
0.1%
0.55467583881
0.1%
0.42632380311
0.1%
0.41083805921
0.1%
0.4028211211
0.1%

roads_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4349.63921
Minimum82.78229908
Maximum140748.3619
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:57.712323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum82.78229908
5-th percentile409.846474
Q1904.9103715
median1674.94929
Q33440.942824
95-th percentile15598.99744
Maximum140748.3619
Range140665.5796
Interquartile range (IQR)2536.032452

Descriptive statistics

Standard deviation9760.497849
Coefficient of variation (CV)2.243978725
Kurtosis55.63480589
Mean4349.63921
Median Absolute Deviation (MAD)964.9718835
Skewness6.367099611
Sum4880295.194
Variance95267318.26
MonotocityNot monotonic
2022-10-21T12:51:57.851806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6093.0525041
 
0.1%
185.68147661
 
0.1%
788.64778011
 
0.1%
1439.4520621
 
0.1%
1424.1779621
 
0.1%
13781.653781
 
0.1%
3670.7666071
 
0.1%
749.90162261
 
0.1%
997.81729411
 
0.1%
1972.9459911
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
82.782299081
0.1%
128.36325051
0.1%
141.60842261
0.1%
151.36213591
0.1%
168.17756691
0.1%
ValueCountFrequency (%)
140748.36191
0.1%
86481.094811
0.1%
81773.380041
0.1%
75923.87171
0.1%
72195.761811
0.1%

schools_100
Real number (ℝ≥0)

ZEROS

Distinct794
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005279890659
Minimum0
Maximum0.02136317396
Zeros329
Zeros (%)29.3%
Memory size8.9 KiB
2022-10-21T12:51:58.003511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.738762651 × 105
Q30.0004044731051
95-th percentile0.002202942555
Maximum0.02136317396
Range0.02136317396
Interquartile range (IQR)0.0004044731051

Descriptive statistics

Standard deviation0.001542676933
Coefficient of variation (CV)2.921797122
Kurtosis81.30048808
Mean0.0005279890659
Median Absolute Deviation (MAD)9.738762651 × 105
Skewness7.855498781
Sum0.5924037319
Variance2.379852121 × 106
MonotocityNot monotonic
2022-10-21T12:51:58.136691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0329
29.3%
6.441223833 × 1051
 
0.1%
4.614142346 × 1051
 
0.1%
0.00016521188421
 
0.1%
0.00059426533951
 
0.1%
0.0001038979031
 
0.1%
0.00016274275791
 
0.1%
0.002484365631
 
0.1%
8.483563097 × 1051
 
0.1%
2.991593622 × 1051
 
0.1%
Other values (784)784
69.9%
ValueCountFrequency (%)
0329
29.3%
7.80266742 × 1071
 
0.1%
8.243975509 × 1071
 
0.1%
8.363259865 × 1071
 
0.1%
1.177775841 × 1061
 
0.1%
ValueCountFrequency (%)
0.021363173961
0.1%
0.020442598481
0.1%
0.017007033351
0.1%
0.01520739791
0.1%
0.012357954551
0.1%

schools_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11813.31965
Minimum574.5111902
Maximum254622.5005
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:58.273906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum574.5111902
5-th percentile1968.445135
Q13853.961796
median6598.939993
Q312672.03782
95-th percentile37634.34321
Maximum254622.5005
Range254047.9894
Interquartile range (IQR)8818.076022

Descriptive statistics

Standard deviation17645.92245
Coefficient of variation (CV)1.493731057
Kurtosis50.77340697
Mean11813.31965
Median Absolute Deviation (MAD)3439.065029
Skewness5.807639902
Sum13254544.65
Variance311378579
MonotocityNot monotonic
2022-10-21T12:51:58.417976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2016.2344421
 
0.1%
3446.7043551
 
0.1%
20778.873041
 
0.1%
107651.43431
 
0.1%
9432.6837611
 
0.1%
11101.473931
 
0.1%
46076.66741
 
0.1%
13299.229661
 
0.1%
1225.6851091
 
0.1%
4226.8014471
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
574.51119021
0.1%
892.38171011
0.1%
959.82640331
0.1%
1073.2654821
0.1%
1162.9617111
0.1%
ValueCountFrequency (%)
254622.50051
0.1%
163081.92391
0.1%
150791.70071
0.1%
141496.58841
0.1%
128174.77971
0.1%

suburbs_100
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct66
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000615549411
Minimum0
Maximum0.3135973104
Zeros1057
Zeros (%)94.2%
Memory size8.9 KiB
2022-10-21T12:51:58.551684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.483796813 × 105
Maximum0.3135973104
Range0.3135973104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.011436792
Coefficient of variation (CV)18.57981146
Kurtosis573.658565
Mean0.000615549411
Median Absolute Deviation (MAD)0
Skewness23.06431304
Sum0.6906464391
Variance0.0001308002112
MonotocityNot monotonic
2022-10-21T12:51:58.674375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01057
94.2%
0.0046005855291
 
0.1%
0.0032139143591
 
0.1%
0.045913682281
 
0.1%
0.00020436431341
 
0.1%
0.0024147727271
 
0.1%
1.229634184 × 1051
 
0.1%
0.0031003322541
 
0.1%
7.830240388 × 1051
 
0.1%
0.00091957866581
 
0.1%
Other values (56)56
 
5.0%
ValueCountFrequency (%)
01057
94.2%
1.267152493 × 1061
 
0.1%
2.028833786 × 1061
 
0.1%
4.197430333 × 1061
 
0.1%
5.586311303 × 1061
 
0.1%
ValueCountFrequency (%)
0.31359731041
0.1%
0.19045764361
0.1%
0.10110701111
0.1%
0.045913682281
0.1%
0.0052078014911
0.1%

suburbs_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62479.64162
Minimum606.4628315
Maximum728679.7894
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:58.807462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum606.4628315
5-th percentile10179.69047
Q125519.01256
median43983.59721
Q369844.14017
95-th percentile153433.2575
Maximum728679.7894
Range728073.3266
Interquartile range (IQR)44325.1276

Descriptive statistics

Standard deviation79817.44937
Coefficient of variation (CV)1.277495314
Kurtosis29.80413231
Mean62479.64162
Median Absolute Deviation (MAD)21509.83741
Skewness4.884006699
Sum70102157.9
Variance6370825224
MonotocityNot monotonic
2022-10-21T12:51:58.934731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36325.643431
 
0.1%
117751.85661
 
0.1%
40032.19141
 
0.1%
18514.103091
 
0.1%
47895.140271
 
0.1%
55395.699251
 
0.1%
34756.971921
 
0.1%
99741.968491
 
0.1%
20886.63661
 
0.1%
63145.130461
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
606.46283151
0.1%
899.80954241
0.1%
933.49437561
0.1%
1061.3927681
0.1%
1402.2364251
0.1%
ValueCountFrequency (%)
728679.78941
0.1%
722473.32881
0.1%
721780.99731
0.1%
721590.40781
0.1%
637783.34031
0.1%

towns_100
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1013
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001170126047
Minimum0
Maximum0.9758519961
Zeros101
Zeros (%)9.0%
Memory size8.9 KiB
2022-10-21T12:51:59.070633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.132988468 × 105
median3.271779939 × 105
Q37.941865582 × 105
95-th percentile0.0002974246654
Maximum0.9758519961
Range0.9758519961
Interquartile range (IQR)6.808877114 × 105

Descriptive statistics

Standard deviation0.02926238604
Coefficient of variation (CV)25.0078922
Kurtosis1100.963037
Mean0.001170126047
Median Absolute Deviation (MAD)2.610388888 × 105
Skewness33.04686792
Sum1.312881424
Variance0.0008562872366
MonotocityNot monotonic
2022-10-21T12:51:59.770370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0101
 
9.0%
9.260116677 × 1052
 
0.2%
4.956138177 × 1052
 
0.2%
7.24847782 × 1052
 
0.2%
1.905959937 × 1052
 
0.2%
4.195510803 × 1052
 
0.2%
1.049736516 × 1052
 
0.2%
0.00015420200462
 
0.2%
3.254254938 × 1052
 
0.2%
8.195377807 × 1052
 
0.2%
Other values (1003)1003
89.4%
ValueCountFrequency (%)
0101
9.0%
1.521364676 × 1071
 
0.1%
2.363254419 × 1071
 
0.1%
5.792192356 × 1071
 
0.1%
7.242881334 × 1071
 
0.1%
ValueCountFrequency (%)
0.97585199611
0.1%
0.087005367621
0.1%
0.018269118161
0.1%
0.012764499271
0.1%
0.012341062081
0.1%

towns_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12988.48889
Minimum6.74255112
Maximum684267.959
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:51:59.899581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6.74255112
5-th percentile3370.194789
Q15181.648682
median8031.222888
Q312853.14524
95-th percentile29906.25144
Maximum684267.959
Range684261.2165
Interquartile range (IQR)7671.496553

Descriptive statistics

Standard deviation31043.71014
Coefficient of variation (CV)2.390094059
Kurtosis350.1148994
Mean12988.48889
Median Absolute Deviation (MAD)3380.874087
Skewness17.09374128
Sum14573084.54
Variance963711939.1
MonotocityNot monotonic
2022-10-21T12:52:00.027850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8292.2598861
 
0.1%
14993.847131
 
0.1%
20014.008961
 
0.1%
3086.8883551
 
0.1%
3009.3467571
 
0.1%
11030.275441
 
0.1%
15162.392421
 
0.1%
11343.649011
 
0.1%
15718.374421
 
0.1%
12764.194751
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
6.742551121
0.1%
1703.0218721
0.1%
2065.0568051
0.1%
2071.7240081
0.1%
2139.788791
0.1%
ValueCountFrequency (%)
684267.9591
0.1%
646377.59881
0.1%
164520.71331
0.1%
155980.8771
0.1%
124945.18121
0.1%

villages_100
Real number (ℝ≥0)

ZEROS

Distinct647
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000112179333
Minimum0
Maximum0.01444340066
Zeros476
Zeros (%)42.4%
Memory size8.9 KiB
2022-10-21T12:52:00.169921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.287794032 × 105
Q36.97324239 × 105
95-th percentile0.0003490717106
Maximum0.01444340066
Range0.01444340066
Interquartile range (IQR)6.97324239 × 105

Descriptive statistics

Standard deviation0.0006446663004
Coefficient of variation (CV)5.746747491
Kurtosis347.6844643
Mean0.000112179333
Median Absolute Deviation (MAD)1.287794032 × 105
Skewness17.31708585
Sum0.1258652116
Variance4.155946389 × 107
MonotocityNot monotonic
2022-10-21T12:52:00.300728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0476
42.4%
0.00054734537491
 
0.1%
9.143275121 × 1051
 
0.1%
3.810539954 × 1051
 
0.1%
2.565697902 × 1051
 
0.1%
0.00010012014421
 
0.1%
9.451736284 × 1061
 
0.1%
7.548878991 × 1051
 
0.1%
0.0018001800181
 
0.1%
7.123383478 × 1051
 
0.1%
Other values (637)637
56.8%
ValueCountFrequency (%)
0476
42.4%
1.053994005 × 1061
 
0.1%
1.177775841 × 1061
 
0.1%
1.460601373 × 1061
 
0.1%
1.776681763 × 1061
 
0.1%
ValueCountFrequency (%)
0.014443400661
0.1%
0.012553379471
0.1%
0.0055030991141
0.1%
0.004573699651
0.1%
0.0028545629311
0.1%

villages_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10893.85262
Minimum1514.054005
Maximum59473.01132
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:52:00.435599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1514.054005
5-th percentile3581.553695
Q16160.502209
median9077.037401
Q313179.61433
95-th percentile23310.30294
Maximum59473.01132
Range57958.95732
Interquartile range (IQR)7019.112125

Descriptive statistics

Standard deviation7366.299734
Coefficient of variation (CV)0.6761886719
Kurtosis8.808868555
Mean10893.85262
Median Absolute Deviation (MAD)3382.914746
Skewness2.444908855
Sum12222902.64
Variance54262371.77
MonotocityNot monotonic
2022-10-21T12:52:00.565387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4552.157231
 
0.1%
10810.330911
 
0.1%
9597.4352641
 
0.1%
7434.0061121
 
0.1%
8721.5915141
 
0.1%
11523.491221
 
0.1%
38105.713241
 
0.1%
8353.1643231
 
0.1%
7663.8498851
 
0.1%
22202.805271
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
1514.0540051
0.1%
1997.2356851
0.1%
2079.4132461
0.1%
2107.976511
0.1%
2364.1511491
0.1%
ValueCountFrequency (%)
59473.011321
0.1%
54173.909211
0.1%
53912.515951
0.1%
52291.33451
0.1%
49366.190411
0.1%

water_100
Real number (ℝ≥0)

ZEROS

Distinct748
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009390322727
Minimum0
Maximum0.5237427153
Zeros375
Zeros (%)33.4%
Memory size8.9 KiB
2022-10-21T12:52:00.705530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0004246691498
Q30.003431690806
95-th percentile0.04739376953
Maximum0.5237427153
Range0.5237427153
Interquartile range (IQR)0.003431690806

Descriptive statistics

Standard deviation0.03416886975
Coefficient of variation (CV)3.638732208
Kurtosis74.22171345
Mean0.009390322727
Median Absolute Deviation (MAD)0.0004246691498
Skewness7.48915582
Sum10.5359421
Variance0.00116751166
MonotocityNot monotonic
2022-10-21T12:52:00.844263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0375
33.4%
0.00077530686031
 
0.1%
0.30291441011
 
0.1%
0.00065563022461
 
0.1%
0.0004140143871
 
0.1%
0.00027386005751
 
0.1%
0.00017596727011
 
0.1%
0.056744639381
 
0.1%
0.00026067577441
 
0.1%
0.0026162600561
 
0.1%
Other values (738)738
65.8%
ValueCountFrequency (%)
0375
33.4%
1.356801476 × 1061
 
0.1%
8.643166856 × 1061
 
0.1%
8.958807404 × 1061
 
0.1%
9.84077624 × 1061
 
0.1%
ValueCountFrequency (%)
0.52374271531
0.1%
0.3216999051
0.1%
0.30291441011
0.1%
0.27688657931
0.1%
0.26470367311
0.1%

water_dist_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10702.01837
Minimum401.7440104
Maximum71623.71936
Zeros0
Zeros (%)0.0%
Memory size8.9 KiB
2022-10-21T12:52:00.982383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum401.7440104
5-th percentile2066.913362
Q14550.421554
median7984.184535
Q314170.22456
95-th percentile27802.33991
Maximum71623.71936
Range71221.97535
Interquartile range (IQR)9619.80301

Descriptive statistics

Standard deviation8818.840605
Coefficient of variation (CV)0.824035271
Kurtosis6.21140245
Mean10702.01837
Median Absolute Deviation (MAD)4070.642775
Skewness2.001484503
Sum12007664.61
Variance77771949.61
MonotocityNot monotonic
2022-10-21T12:52:01.114516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6581.3141361
 
0.1%
21989.466041
 
0.1%
2546.0844931
 
0.1%
2446.40211
 
0.1%
5895.2382731
 
0.1%
3761.686841
 
0.1%
31260.348091
 
0.1%
3349.010421
 
0.1%
5233.3728371
 
0.1%
3052.3413041
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
401.74401041
0.1%
415.05531811
0.1%
520.60970481
0.1%
810.4574341
0.1%
959.81039621
0.1%
ValueCountFrequency (%)
71623.719361
0.1%
67918.200531
0.1%
63811.992121
0.1%
52417.377861
0.1%
44905.435831
0.1%

wc_prec_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2063.696352
Minimum0
Maximum7099.325656
Zeros1
Zeros (%)0.1%
Memory size8.9 KiB
2022-10-21T12:52:01.259155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1106.922992
Q11491.493605
median1920.240153
Q32408.175299
95-th percentile3339.559863
Maximum7099.325656
Range7099.325656
Interquartile range (IQR)916.6816941

Descriptive statistics

Standard deviation880.0161006
Coefficient of variation (CV)0.4264271242
Kurtosis8.804792053
Mean2063.696352
Median Absolute Deviation (MAD)460.5780545
Skewness2.311325201
Sum2315467.307
Variance774428.3373
MonotocityNot monotonic
2022-10-21T12:52:01.381516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
0.1%
1514.0807261
 
0.1%
1978.9166651
 
0.1%
2618.6586971
 
0.1%
1576.6745781
 
0.1%
3302.7746241
 
0.1%
1395.4169581
 
0.1%
1644.6104511
 
0.1%
1413.7644061
 
0.1%
1356.1126891
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
01
0.1%
458.75026291
0.1%
670.56436461
0.1%
757.54089011
0.1%
900.0004841
0.1%
ValueCountFrequency (%)
7099.3256561
0.1%
7083.5059431
0.1%
7056.5783071
0.1%
7051.4731841
0.1%
7031.3660241
0.1%

wc_temp_100
Real number (ℝ≥0)

UNIQUE

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.75591047
Minimum0
Maximum28.69487936
Zeros1
Zeros (%)0.1%
Memory size8.9 KiB
2022-10-21T12:52:01.518061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.45839681
Q116.61663366
median21.17607798
Q326.02585208
95-th percentile27.94019497
Maximum28.69487936
Range28.69487936
Interquartile range (IQR)9.409218412

Descriptive statistics

Standard deviation5.558820466
Coefficient of variation (CV)0.2678186762
Kurtosis-0.929209416
Mean20.75591047
Median Absolute Deviation (MAD)4.779151633
Skewness-0.3714428714
Sum23288.13155
Variance30.90048498
MonotocityNot monotonic
2022-10-21T12:52:01.640269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.707401581
 
0.1%
27.411948291
 
0.1%
24.474435611
 
0.1%
21.849401821
 
0.1%
20.61729371
 
0.1%
12.808632771
 
0.1%
11.637387111
 
0.1%
9.1941947491
 
0.1%
26.109263711
 
0.1%
21.24544681
 
0.1%
Other values (1112)1112
99.1%
ValueCountFrequency (%)
01
0.1%
6.4304163771
0.1%
6.903881641
0.1%
7.9686878411
0.1%
8.008823941
0.1%
ValueCountFrequency (%)
28.694879361
0.1%
28.652703241
0.1%
28.571870361
0.1%
28.490424941
0.1%
28.474297061
0.1%